--- _id: '35620' abstract: - lang: eng text: Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density. article_type: original author: - first_name: Jan-Peter full_name: Kucklick, Jan-Peter id: '77066' last_name: Kucklick - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: 'Kucklick J-P, Müller O. Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems. Published online 2022. doi:10.1145/3567430' apa: 'Kucklick, J.-P., & Müller, O. (2022). Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems. https://doi.org/10.1145/3567430' bibtex: '@article{Kucklick_Müller_2022, title={Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}, DOI={10.1145/3567430}, journal={ACM Transactions on Management Information Systems}, publisher={Association for Computing Machinery (ACM)}, author={Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }' chicago: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” ACM Transactions on Management Information Systems, 2022. https://doi.org/10.1145/3567430.' ieee: 'J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,” ACM Transactions on Management Information Systems, 2022, doi: 10.1145/3567430.' mla: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” ACM Transactions on Management Information Systems, Association for Computing Machinery (ACM), 2022, doi:10.1145/3567430.' short: J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems (2022). date_created: 2023-01-10T05:16:02Z date_updated: 2023-01-10T05:20:18Z department: - _id: '195' - _id: '196' doi: 10.1145/3567430 keyword: - Interpretability - Convolutional Neural Network - Accuracy-Interpretability Trade-Of - Real Estate Appraisal - Hedonic Pricing - Grad-Ram language: - iso: eng main_file_link: - url: https://dl.acm.org/doi/pdf/10.1145/3567430 publication: ACM Transactions on Management Information Systems publication_identifier: issn: - 2158-656X - 2158-6578 publication_status: published publisher: Association for Computing Machinery (ACM) status: public title: 'Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal' type: journal_article user_id: '77066' year: '2022' ... --- _id: '32560' abstract: - lang: eng text: "Several methods are available to answer questions regarding similarity and accuracy,\r\neach of which has specific properties and limitations. This study focuses on the\r\nLatent Congruence Model (LCM; Cheung, 2009), because of its capacity to deal\r\nwith cross-informant measurement invariance issues. Until now, no cross-national\r\napplications of LCM are present in the literature, perhaps because of the difficulty\r\nto deal with both cross-national and cross-informant measurement issues implied by\r\nthose models. This study presents a step-by-step procedure to apply LCM to dyadic\r\ncross-national research designs controlling for both cross-national and cross-informant\r\nmeasurement invariance. An illustrative example on parent–child support exchanges in\r\nItaly and Germany is provided. Findings help to show the different possible scenarios\r\nof partial invariance, and a discussion related to how to deal with those scenarios is\r\nprovided. Future perspectives in the study of parent–child similarity and accuracy in\r\ncross-national research will be discussed." article_number: '672383' author: - first_name: Semira full_name: Tagliabue, Semira last_name: Tagliabue - first_name: Michela full_name: Zambelli, Michela last_name: Zambelli - first_name: Angela full_name: Sorgente, Angela last_name: Sorgente - first_name: Sabrina full_name: Sommer, Sabrina last_name: Sommer - first_name: Christian full_name: Hoellger, Christian last_name: Hoellger - first_name: Heike M. full_name: Buhl, Heike M. id: '27152' last_name: Buhl - first_name: Margherita full_name: Lanz, Margherita last_name: Lanz citation: ama: 'Tagliabue S, Zambelli M, Sorgente A, et al. Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance. Frontiers in Psychology. 2021;12. doi:10.3389/fpsyg.2021.672383' apa: 'Tagliabue, S., Zambelli, M., Sorgente, A., Sommer, S., Hoellger, C., Buhl, H. M., & Lanz, M. (2021). Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance. Frontiers in Psychology, 12, Article 672383. https://doi.org/10.3389/fpsyg.2021.672383' bibtex: '@article{Tagliabue_Zambelli_Sorgente_Sommer_Hoellger_Buhl_Lanz_2021, title={Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance}, volume={12}, DOI={10.3389/fpsyg.2021.672383}, number={672383}, journal={Frontiers in Psychology}, publisher={Frontiers Media SA}, author={Tagliabue, Semira and Zambelli, Michela and Sorgente, Angela and Sommer, Sabrina and Hoellger, Christian and Buhl, Heike M. and Lanz, Margherita}, year={2021} }' chicago: 'Tagliabue, Semira, Michela Zambelli, Angela Sorgente, Sabrina Sommer, Christian Hoellger, Heike M. Buhl, and Margherita Lanz. “Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance.” Frontiers in Psychology 12 (2021). https://doi.org/10.3389/fpsyg.2021.672383.' ieee: 'S. Tagliabue et al., “Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance,” Frontiers in Psychology, vol. 12, Art. no. 672383, 2021, doi: 10.3389/fpsyg.2021.672383.' mla: 'Tagliabue, Semira, et al. “Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance.” Frontiers in Psychology, vol. 12, 672383, Frontiers Media SA, 2021, doi:10.3389/fpsyg.2021.672383.' short: S. Tagliabue, M. Zambelli, A. Sorgente, S. Sommer, C. Hoellger, H.M. Buhl, M. Lanz, Frontiers in Psychology 12 (2021). date_created: 2022-08-03T05:59:20Z date_updated: 2022-08-29T06:38:34Z department: - _id: '427' doi: 10.3389/fpsyg.2021.672383 intvolume: ' 12' keyword: - latent congruence model - measurement invariance - similarity - accuracy - cross-national - cross-informant - parent-child relationship - support exchanges language: - iso: eng main_file_link: - open_access: '1' url: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.672383/pdf oa: '1' publication: Frontiers in Psychology publication_identifier: issn: - 1664-1078 publication_status: published publisher: Frontiers Media SA status: public title: 'Latent Congruence Model to Investigate Similarity and Accuracy in Family Members'' Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance' type: journal_article user_id: '42165' volume: 12 year: '2021' ... --- _id: '3585' abstract: - lang: eng text: Existing approaches and tools for the generation of approximate circuits often lack generality and are restricted to certain circuit types, approximation techniques, and quality assurance methods. Moreover, only few tools are publicly available. This hinders the development and evaluation of new techniques for approximating circuits and their comparison to previous approaches. In this paper, we first analyze and classify related approaches and then present CIRCA, our flexible framework for search-based approximate circuit generation. CIRCA is developed with a focus on modularity and extensibility. We present the architecture of CIRCA with its clear separation into stages and functional blocks, report on the current prototype, and show initial experiments. author: - first_name: Linus Matthias full_name: Witschen, Linus Matthias id: '49051' last_name: Witschen - first_name: Tobias full_name: Wiersema, Tobias id: '3118' last_name: Wiersema - first_name: Hassan full_name: Ghasemzadeh Mohammadi, Hassan id: '61186' last_name: Ghasemzadeh Mohammadi - first_name: Muhammad full_name: Awais, Muhammad id: '64665' last_name: Awais orcid: https://orcid.org/0000-0003-4148-2969 - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability. 2019;99:277-290. doi:10.1016/j.microrel.2019.04.003' apa: 'Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., & Platzner, M. (2019). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability, 99, 277–290. https://doi.org/10.1016/j.microrel.2019.04.003' bibtex: '@article{Witschen_Wiersema_Ghasemzadeh Mohammadi_Awais_Platzner_2019, title={CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation}, volume={99}, DOI={10.1016/j.microrel.2019.04.003}, journal={Microelectronics Reliability}, publisher={Elsevier}, author={Witschen, Linus Matthias and Wiersema, Tobias and Ghasemzadeh Mohammadi, Hassan and Awais, Muhammad and Platzner, Marco}, year={2019}, pages={277–290} }' chicago: 'Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Microelectronics Reliability 99 (2019): 277–90. https://doi.org/10.1016/j.microrel.2019.04.003.' ieee: 'L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner, “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,” Microelectronics Reliability, vol. 99, pp. 277–290, 2019.' mla: 'Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Microelectronics Reliability, vol. 99, Elsevier, 2019, pp. 277–90, doi:10.1016/j.microrel.2019.04.003.' short: L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner, Microelectronics Reliability 99 (2019) 277–290. date_created: 2018-07-20T14:08:49Z date_updated: 2022-01-06T06:59:25Z department: - _id: '78' doi: 10.1016/j.microrel.2019.04.003 intvolume: ' 99' keyword: - Approximate Computing - Framework - Pareto Front - Accuracy language: - iso: eng page: 277-290 project: - _id: '12' name: SFB 901 - Subproject B4 - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Microelectronics Reliability publication_identifier: issn: - 0026-2714 publication_status: published publisher: Elsevier status: public title: 'CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation' type: journal_article user_id: '49051' volume: 99 year: '2019' ... --- _id: '3586' abstract: - lang: eng text: Existing approaches and tools for the generation of approximate circuits often lack generality and are restricted to certain circuit types, approximation techniques, and quality assurance methods. Moreover, only few tools are publicly available. This hinders the development and evaluation of new techniques for approximating circuits and their comparison to previous approaches. In this paper, we first analyze and classify related approaches and then present CIRCA, our flexible framework for search-based approximate circuit generation. CIRCA is developed with a focus on modularity and extensibility. We present the architecture of CIRCA with its clear separation into stages and functional blocks, report on the current prototype, and show initial experiments. author: - first_name: Linus Matthias full_name: Witschen, Linus Matthias id: '49051' last_name: Witschen - first_name: Tobias full_name: Wiersema, Tobias id: '3118' last_name: Wiersema - first_name: Hassan full_name: Ghasemzadeh Mohammadi, Hassan id: '61186' last_name: Ghasemzadeh Mohammadi - first_name: Muhammad full_name: Awais, Muhammad id: '64665' last_name: Awais orcid: https://orcid.org/0000-0003-4148-2969 - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).' apa: 'Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., & Platzner, M. (n.d.). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).' bibtex: '@article{Witschen_Wiersema_Ghasemzadeh Mohammadi_Awais_Platzner, title={CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation}, journal={Third Workshop on Approximate Computing (AxC 2018)}, author={Witschen, Linus Matthias and Wiersema, Tobias and Ghasemzadeh Mohammadi, Hassan and Awais, Muhammad and Platzner, Marco} }' chicago: 'Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018), n.d.' ieee: 'L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner, “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,” Third Workshop on Approximate Computing (AxC 2018). .' mla: 'Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018).' short: L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner, Third Workshop on Approximate Computing (AxC 2018) (n.d.). date_created: 2018-07-20T14:10:46Z date_updated: 2022-01-06T06:59:26Z ddc: - '000' department: - _id: '78' file: - access_level: closed content_type: application/pdf creator: tobias82 date_created: 2018-07-20T14:13:31Z date_updated: 2018-07-20T14:13:31Z file_id: '3587' file_name: WitschenWMAP2018.pdf file_size: 285348 relation: main_file success: 1 file_date_updated: 2018-07-20T14:13:31Z has_accepted_license: '1' keyword: - Approximate Computing - Framework - Pareto Front - Accuracy language: - iso: eng page: '6' project: - _id: '12' name: SFB 901 - Subproject B4 - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Third Workshop on Approximate Computing (AxC 2018) publication_status: accepted status: public title: 'CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation' type: preprint user_id: '49051' year: '2018' ... --- _id: '10598' abstract: - lang: eng text: "Approximate computing has become a very popular design\r\nstrategy that exploits error resilient computations to achieve higher\r\nperformance and energy efficiency. Automated synthesis of approximate\r\ncircuits is performed via functional approximation, in which various\r\nparts of the target circuit are extensively examined with a library\r\nof approximate components/transformations to trade off the functional\r\naccuracy and computational budget (i.e., power). However, as the number\r\nof possible approximate transformations increases, traditional search\r\ntechniques suffer from a combinatorial explosion due to the large\r\nbranching factor. In this work, we present a comprehensive framework\r\nfor automated synthesis of approximate circuits from either structural\r\nor behavioral descriptions. We adapt the Monte Carlo Tree Search\r\n(MCTS), as a stochastic search technique, to deal with the large design\r\nspace exploration, which enables a broader range of potential possible\r\napproximations through lightweight random simulations. The proposed\r\nframework is able to recognize the design Pareto set even with low\r\ncomputational budgets. Experimental results highlight the capabilities of\r\nthe proposed synthesis framework by resulting in up to 61.69% energy\r\nsaving while maintaining the predefined quality constraints." author: - first_name: Muhammad full_name: Awais, Muhammad id: '64665' last_name: Awais orcid: https://orcid.org/0000-0003-4148-2969 - first_name: Hassan full_name: Ghasemzadeh Mohammadi, Hassan id: '61186' last_name: Ghasemzadeh Mohammadi - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Awais M, Ghasemzadeh Mohammadi H, Platzner M. An MCTS-based Framework for Synthesis of Approximate Circuits. In: 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC). ; 2018:219-224. doi:10.1109/VLSI-SoC.2018.8645026' apa: Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (2018). An MCTS-based Framework for Synthesis of Approximate Circuits. In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 219–224). https://doi.org/10.1109/VLSI-SoC.2018.8645026 bibtex: '@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2018, title={An MCTS-based Framework for Synthesis of Approximate Circuits}, DOI={10.1109/VLSI-SoC.2018.8645026}, booktitle={26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}, year={2018}, pages={219–224} }' chicago: Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “An MCTS-Based Framework for Synthesis of Approximate Circuits.” In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 219–24, 2018. https://doi.org/10.1109/VLSI-SoC.2018.8645026. ieee: M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “An MCTS-based Framework for Synthesis of Approximate Circuits,” in 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–224. mla: Awais, Muhammad, et al. “An MCTS-Based Framework for Synthesis of Approximate Circuits.” 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–24, doi:10.1109/VLSI-SoC.2018.8645026. short: 'M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–224.' date_created: 2019-07-10T09:21:38Z date_updated: 2022-01-06T06:50:46Z department: - _id: '78' doi: 10.1109/VLSI-SoC.2018.8645026 keyword: - Approximate computing - High-level synthesis - Accuracy - Monte-Carlo tree search - Circuit simulation language: - iso: eng page: 219-224 publication: 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) status: public title: An MCTS-based Framework for Synthesis of Approximate Circuits type: conference user_id: '64665' year: '2018' ... --- _id: '11753' abstract: - lang: eng text: This contribution describes a step-wise source counting algorithm to determine the number of speakers in an offline scenario. Each speaker is identified by a variational expectation maximization (VEM) algorithm for complex Watson mixture models and therefore directly yields beamforming vectors for a subsequent speech separation process. An observation selection criterion is proposed which improves the robustness of the source counting in noise. The algorithm is compared to an alternative VEM approach with Gaussian mixture models based on directions of arrival and shown to deliver improved source counting accuracy. The article concludes by extending the offline algorithm towards a low-latency online estimation of the number of active sources from the streaming input data. author: - first_name: Lukas full_name: Drude, Lukas id: '11213' last_name: Drude - first_name: Aleksej full_name: Chinaev, Aleksej last_name: Chinaev - first_name: Dang Hai full_name: Tran Vu, Dang Hai last_name: Tran Vu - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014). ; 2014:213-217.' apa: Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) (pp. 213–217). bibtex: '@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models}, booktitle={14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2014}, pages={213–217} }' chicago: Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 213–17, 2014. ieee: L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217. mla: Drude, Lukas, et al. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–17. short: 'L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.' date_created: 2019-07-12T05:27:35Z date_updated: 2022-01-06T06:51:08Z department: - _id: '54' keyword: - Accuracy - Acoustics - Estimation - Mathematical model - Soruce separation - Speech - Vectors - Bayes methods - Blind source separation - Directional statistics - Number of speakers - Speaker diarization language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14.pdf oa: '1' page: 213-217 publication: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14_Poster.pdf status: public title: Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models type: conference user_id: '44006' year: '2014' ... --- _id: '37040' abstract: - lang: eng text: Refinement of untimed TLM models into a timed HW/SW platform is a step by step design process which is a trade-off between timing accuracy of the used models and correct estimation of the final timing performance. The use of an RTOS on the target platform is mandatory in the case real-time properties must be guaranteed. Thus, the question is when the RTOS must be introduced in this step by step refinement process. This paper proposes a four-level RTOS-aware refinement methodology that, starting from an untimed TLM SystemC description of the whole system, progressively introduce HW/SW partitioning, timing, device driver and RTOS functionalities, till to obtain an accurate model of the final platform, where SW tasks run upon an RTOS hosted by QEMU and HW components are modeled by cycle accurate TLM descriptions. Each refinement level allows the designer to estimate more and more accurate timing properties, thus anticipating design decisions without being constrained to leave timing analysis to the final step of the refinement. The effectiveness of the methodology has been evaluated in the design of two complex platforms. author: - first_name: Markus full_name: Becker, Markus last_name: Becker - first_name: Giuseppe full_name: Di Guglielmo, Giuseppe last_name: Di Guglielmo - first_name: Franco full_name: Fummi, Franco last_name: Fummi - first_name: Wolfgang full_name: Müller, Wolfgang id: '16243' last_name: Müller - first_name: Graziano full_name: Pravadelli, Graziano last_name: Pravadelli - first_name: Tao full_name: Xie, Tao last_name: Xie citation: ama: 'Becker M, Di Guglielmo G, Fummi F, Müller W, Pravadelli G, Xie T. RTOS-Aware Refinement for TLM2.0-based HW/SW Design. In: Proceedings of DATE’10. IEEE; 2010. doi:10.1109/DATE.2010.5456965' apa: Becker, M., Di Guglielmo, G., Fummi, F., Müller, W., Pravadelli, G., & Xie, T. (2010). RTOS-Aware Refinement for TLM2.0-based HW/SW Design. Proceedings of DATE’10. Design, Automation & Test in Europe Conference & Exhibition (DATE 2010), Dresden. https://doi.org/10.1109/DATE.2010.5456965 bibtex: '@inproceedings{Becker_Di Guglielmo_Fummi_Müller_Pravadelli_Xie_2010, place={Dresden}, title={RTOS-Aware Refinement for TLM2.0-based HW/SW Design}, DOI={10.1109/DATE.2010.5456965}, booktitle={Proceedings of DATE’10}, publisher={IEEE}, author={Becker, Markus and Di Guglielmo, Giuseppe and Fummi, Franco and Müller, Wolfgang and Pravadelli, Graziano and Xie, Tao}, year={2010} }' chicago: 'Becker, Markus, Giuseppe Di Guglielmo, Franco Fummi, Wolfgang Müller, Graziano Pravadelli, and Tao Xie. “RTOS-Aware Refinement for TLM2.0-Based HW/SW Design.” In Proceedings of DATE’10. Dresden: IEEE, 2010. https://doi.org/10.1109/DATE.2010.5456965.' ieee: 'M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, and T. Xie, “RTOS-Aware Refinement for TLM2.0-based HW/SW Design,” presented at the Design, Automation & Test in Europe Conference & Exhibition (DATE 2010), Dresden, 2010, doi: 10.1109/DATE.2010.5456965.' mla: Becker, Markus, et al. “RTOS-Aware Refinement for TLM2.0-Based HW/SW Design.” Proceedings of DATE’10, IEEE, 2010, doi:10.1109/DATE.2010.5456965. short: 'M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, T. Xie, in: Proceedings of DATE’10, IEEE, Dresden, 2010.' conference: location: Dresden name: Design, Automation & Test in Europe Conference & Exhibition (DATE 2010) date_created: 2023-01-17T10:47:29Z date_updated: 2023-01-17T10:47:37Z department: - _id: '672' doi: 10.1109/DATE.2010.5456965 keyword: - Timing - Hardware - Operating systems - Process design - Accuracy - Standards development - Context modeling - Real time systems - Communication channels - Microprogramming language: - iso: eng place: Dresden publication: Proceedings of DATE’10 publication_identifier: eisbn: - 978-3-9810801-6-2 publisher: IEEE status: public title: RTOS-Aware Refinement for TLM2.0-based HW/SW Design type: conference user_id: '5786' year: '2010' ... --- _id: '11870' abstract: - lang: eng text: We derive a class of computationally inexpensive linear dimension reduction criteria by introducing a weighted variant of the well-known K-class Fisher criterion associated with linear discriminant analysis (LDA). It can be seen that LDA weights contributions of individual class pairs according to the Euclidean distance of the respective class means. We generalize upon LDA by introducing a different weighting function author: - first_name: M. full_name: Loog, M. last_name: Loog - first_name: R.P.W. full_name: Duin, R.P.W. last_name: Duin - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Loog M, Duin RPW, Haeb-Umbach R. Multiclass linear dimension reduction by weighted pairwise Fisher criteria. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001;23(7):762-766. doi:10.1109/34.935849 apa: Loog, M., Duin, R. P. W., & Haeb-Umbach, R. (2001). Multiclass linear dimension reduction by weighted pairwise Fisher criteria. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(7), 762–766. https://doi.org/10.1109/34.935849 bibtex: '@article{Loog_Duin_Haeb-Umbach_2001, title={Multiclass linear dimension reduction by weighted pairwise Fisher criteria}, volume={23}, DOI={10.1109/34.935849}, number={7}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Loog, M. and Duin, R.P.W. and Haeb-Umbach, Reinhold}, year={2001}, pages={762–766} }' chicago: 'Loog, M., R.P.W. Duin, and Reinhold Haeb-Umbach. “Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.” IEEE Transactions on Pattern Analysis and Machine Intelligence 23, no. 7 (2001): 762–66. https://doi.org/10.1109/34.935849.' ieee: M. Loog, R. P. W. Duin, and R. Haeb-Umbach, “Multiclass linear dimension reduction by weighted pairwise Fisher criteria,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 7, pp. 762–766, 2001. mla: Loog, M., et al. “Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 7, 2001, pp. 762–66, doi:10.1109/34.935849. short: M. Loog, R.P.W. Duin, R. Haeb-Umbach, IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (2001) 762–766. date_created: 2019-07-12T05:29:51Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/34.935849 intvolume: ' 23' issue: '7' keyword: - approximate pairwise accuracy - Bayes error - Bayes methods - error statistics - Euclidean distance - Fisher criterion - linear dimension reduction - linear discriminant analysis - pattern classification - statistical analysis - statistical pattern classification - weighting function language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2001/LoDuHa01.pdf oa: '1' page: 762-766 publication: IEEE Transactions on Pattern Analysis and Machine Intelligence status: public title: Multiclass linear dimension reduction by weighted pairwise Fisher criteria type: journal_article user_id: '44006' volume: 23 year: '2001' ... --- _id: '11869' abstract: - lang: eng text: Amongst several data driven approaches for designing filters for the time sequence of spectral parameters, the linear discriminant analysis (LDA) based method has been proposed for automatic speech recognition. Here we apply LDA-based filter design to cepstral features, which better match the inherent assumption of this method that feature vector components are uncorrelated. Extensive recognition experiments have been conducted both on the standard TIMIT phone recognition task and on a proprietary 130-words command word task under various adverse environmental conditions, including reverberant data with real-life room impulse responses and data processed by acoustic echo cancellation algorithms. Significant error rate reductions have been achieved when applying the novel long-range feature filters compared to standard approaches employing cepstral mean normalization and delta and delta-delta features, in particular when facing acoustic echo cancellation scenarios and room reverberation. For example, the phone accuracy on reverberated TIMIT data could be increased from 50.7\% to 56.0\% author: - first_name: M. full_name: Lieb, M. last_name: Lieb - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Lieb M, Haeb-Umbach R. LDA derived cepstral trajectory filters in adverse environmental conditions. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000). Vol 2. ; 2000:II1105-II1108 vol.2. doi:10.1109/ICASSP.2000.859157' apa: Lieb, M., & Haeb-Umbach, R. (2000). LDA derived cepstral trajectory filters in adverse environmental conditions. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000) (Vol. 2, pp. II1105-II1108 vol.2). https://doi.org/10.1109/ICASSP.2000.859157 bibtex: '@inproceedings{Lieb_Haeb-Umbach_2000, title={LDA derived cepstral trajectory filters in adverse environmental conditions}, volume={2}, DOI={10.1109/ICASSP.2000.859157}, booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000)}, author={Lieb, M. and Haeb-Umbach, Reinhold}, year={2000}, pages={II1105-II1108 vol.2} }' chicago: Lieb, M., and Reinhold Haeb-Umbach. “LDA Derived Cepstral Trajectory Filters in Adverse Environmental Conditions.” In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 2:II1105-II1108 vol.2, 2000. https://doi.org/10.1109/ICASSP.2000.859157. ieee: M. Lieb and R. Haeb-Umbach, “LDA derived cepstral trajectory filters in adverse environmental conditions,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 2000, vol. 2, pp. II1105-II1108 vol.2. mla: Lieb, M., and Reinhold Haeb-Umbach. “LDA Derived Cepstral Trajectory Filters in Adverse Environmental Conditions.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), vol. 2, 2000, pp. II1105-II1108 vol.2, doi:10.1109/ICASSP.2000.859157. short: 'M. Lieb, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 2000, pp. II1105-II1108 vol.2.' date_created: 2019-07-12T05:29:50Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/ICASSP.2000.859157 intvolume: ' 2' keyword: - acoustic echo cancellation algorithms - adverse environmental conditions - automatic speech recognition - cepstral analysis - cepstral features - cepstral mean normalization - command word task - delta-delta features - delta features - echo suppression - error rate reductions - feature vector components - FIR filters - LDA derived cepstral trajectory filters - linear discriminant analysis - long-range feature filters - phone accuracy - real-life room impulse responses - reverberant data - spectral parameters - speech recognition - standard TIMIT phone recognition task language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2000/LiHa00.pdf oa: '1' page: II1105-II1108 vol.2 publication: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000) status: public title: LDA derived cepstral trajectory filters in adverse environmental conditions type: conference user_id: '44006' volume: 2 year: '2000' ...