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| Lexical filtrering by means of prosodic information, , and , in: International Congress of Phonetic Sciences, 1995 |
| Lighting Normalization Algorithms for Face Verification, , and , Idiap-Com-03-2005 |
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| Likelihood ratio adjustment for the compensation of model mismatch in speaker verification, and , in: Eurospeech 97, 1997 |
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| Likelihood ratio adjustment for the compensation of model mismatch in speaker verification, and , Idiap-RR-05-1997 |
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| Linking Objects in Videos by Importance Sampling, and , in: IEEE International Conference on Multimedia and Expo, 2002 |
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| Linking Objects in Videos by Importance Sampling, and , Idiap-RR-20-2002 |
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| Linking Speaking and Looking Behavior Patterns with Group Composition, Perception, and Performance, , , , and , in: Proceedings of the International Conference on Multimodal Interaction (ICMI), Santa Monica, USA, 2012 |
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| Links Between Perceptrons, MLPs and SVMs, and , in: International Conference on Machine Learning, ICML, 2004 |
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| Links between Perceptrons, MLPs and SVMs, and , Idiap-RR-06-2004 |
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| Local Affine Approximations for Improving Knowledge Transfer, and , Idiap-Com-01-2018 |
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| Local Binary Patterns as an Image Preprocessing for Face Authentication, , and , in: IEEE Int. Conf. on Automatic Face and Gesture Recognition (AFGR), 2006 |
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| Local Binary Patterns as an Image Preprocessing for Face Authentication, , and , Idiap-RR-76-2005 |
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| Local estimation of parametric point spread functions in thermal images via convolutional neural networks, , , and , in: SPIE sensors + imaging, Target and Background Signatures VIII, Berlin, Germany, pages 1227009 1--8, SPIE, 2022 |
[DOI] [URL] |
| Local Features and 1D-HMMs for Fast and Robust Face Authentication, , Idiap-RR-17-2005 |
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| Local Machine Learning Models for Spatial Data Analysis, and , in: Journal of Geographic Information and Decision Analysis, 4(01), 2000 |
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| Local Machine Learning Models for Spatial Data Analysis, and , Idiap-RR-34-2000 |
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| Local velocity-adapted motion events for spatio-temporal recognition, , and , in: Computer Vision and Image Undertanding, 108(3), 2007 |
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| Localized mixtures of experts, , Idiap-RR-14-1998 |
| Locally Private Graph Neural Networks, and , in: ACM Conference on Computer and Communications Security (CCS), 2021 |
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| Locating and tracking facial speech features, , and , in: Proceedings of the International Conference on Pattern Recognition (ICPR'96), IAPR, 1996 |
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| Location Based Speaker Segmentation, and , in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003 |
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| Location Based Speaker Segmentation, and , Idiap-RR-43-2002 |
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| Long Term Spectral Statistics for Voice Presentation Attack Detection, , , and , Idiap-RR-11-2017 |
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| Long-Term Spectral Statistics for Voice Presentation Attack Detection, , , and , in: IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(11):2098-2111, 2017 |
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| Long-Term Time-Sensitive Costs for CRF-Based Tracking by Detection, , and , in: 2nd Workshop on Benchmarking Multi-target Tracking: MOTChallenge 2016, Amsterdam, 2016 |
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| Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome, , , and , in: ESMO Open, 2021 |
| Look at who's talking, , , , and , in: Proceedings of International Conference on Ambient Intelligence, pages 68-76, 2011 |
| Looking at Cities in Mexico with Crowds, , and , in: Proceedings of the 2015 Annual Symposium on Computing for Development, London, United Kingdom, pages 127-135, ACM, 2015 |
[DOI] [URL] |
| Looking South: Learning Urban Perception in Developing Cities, , and , in: ACM Transactions on Social Computing, 2018 |
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| Loose and Tight: Creative Formation but Rigid Use of Nominal Compounds in Conspiracist Texts, , and , in: The Journal of Creative Behavior, 2023 |
| Loud and Trendy: Crowdsourcing Impressions of Social Ambiance in Popular Indoor Urban Places, and , in: Proceedings of the 23rd ACM International Conference on Multimedia, Brisbane, Australia, pages 211-220, ACM, 2015 |
[DOI] [URL] |
| Low cost duration modelling for noise robust speech recognition, , and , in: Proc. ICSLP, 2002 |
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| Low cost duration modelling for noise robust speech recognition, , and , Idiap-RR-08-2002 |
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| Low-Delay Error Resilient Speech Coding Using Sub-band Hilbert Envelopes, , and , Idiap-RR-75-2008 |
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| Low-latency speaker spotting with online diarization and detection, , , , , , , , and , in: The Speaker and Language Recognition Workshop (Odyssey), 2018 |
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| Low-Level Physiological Implications of End-to-End Learning for Speech Recognition, and , in: Proc. Interspeech 2022, pages 749--753, 2022 |
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| Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models, , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017 |
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| Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models, , Idiap-RR-05-2016 |
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| Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling, , , and , Idiap-RR-04-2016 |
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| Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling, , , and , in: Interspeech, 2016 |
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| LP Residual Features for Robust, Privacy-Sensitive Speaker Diarization, , and , Idiap-RR-14-2011 |
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| LP Residual Features for Robust, Privacy-Sensitive Speaker Diarization, , and , in: Interspeech, 2011 |
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| LP-TRAP: Linear predictive temporal patterns, , and , 2004 |
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| LP-TRAP: Linear predictive temporal patterns, , and , Idiap-RR-59-2004 |
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| LP-TRAPs in all senses, , Idiap-RR-66-2007 |
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| LPC modeling with speech production constraints, , in: Proc. 5th Speech Production Seminar, 2000 |
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| LPC-based inversion of the DRM articulatory model, , in: Proc. Eurospeech'99, 1999 |
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| MAAYA: Multimedia Methods to Support Maya Epigraphic Analysis, , , , , , and , in: Arqueologia computacional: Nuevos enfoques para el analisis y la difusion del patrimonio cultural, INAH-RedTDPC, 2017 |
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| Machine Learning Approaches to Text Representation using Unlabeled Data, , Ecole Polytechnique Fédérale de Lausanne, 2006 |
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