logo Idiap Research Institute        
All publications sorted by title
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 |


D

Data utility modelling for mismatch reduction, Andrew Morris, in: Proc. CRAC (workshop on Consistent & Reliable Acoustic Cues for sound analysis), 2001
attachment
Data-driven extraction of spectral-dynamics based posteriors, Fabio Valente, in: Handbook of Natural Language Processing and Machine Translation Handbook of Natural Language Processing and Machine Translation, Springer, 2011
[URL]
Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), Ahad Montazeri, Jérôme Kämpf and Guglielmina Mutani, in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023
Database, Protocol and Tools for Evaluating Score-Level Fusion Algorithms in Biometric Authentication, Norman Poh and Samy Bengio, in: Fifth Int'l. Conf. Audio- and Video-Based Biometric Person Authentication AVBPA, 2005
attachment
Deciphering the Silent Participant. On the Use of Audio-Visual Cues for the Classification of Listener Categories in Group Discussions, Catharine Oertel, Kenneth Alberto Funes Mora, Joakim Gustafson and Jean-Marc Odobez, in: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, ACM, Seattle, Washington, USA, pages 107--114, ACM, 2015
attachment
[DOI]
Decision fusion using a multi-linear classifier, Patrick Verlinde, Gilbert Maître and Eddy Mayoraz, in: 1st International Conference on Multisource-Multisensor Data Fusion, 1998
Decision-Oriented Environmental Mapping with Radial Basis Function Neural Networks, V. Demyanov, Nicolas Gilardi, Mikhail Kanevski, Michel Maignan and V. Polishchuk, in: Intelligent techniques for Spatio-Temporal Data Analysis in Environmental Applications. Workshop W07, 1999
Decomposing Natural Logic Inferences for Neural NLI, Julia Rozanova, Deborah Mendes, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022
Deep Auto-Encoding and Biohashing for Secure Finger Vein Recognition, Hatef Otroshi Shahreza and Sébastien Marcel, in: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Toronto, Canada, 2021
attachment
[DOI]
[URL]
Deep Learning Approaches for Auditory Perception in Robotics, Weipeng He, École polytechnique fédérale de Lausanne, 2021
attachment
Deep Learning for Efficient Discriminative Parsing, Ronan Collobert, in: International Conference on Artificial Intelligence and Statistics, 2011
attachment
Deep Learning via Semi-Supervised Embedding, Jason Weston, Frédéric Ratle, Hossein Mobahi and Ronan Collobert, in: In Neural Networks: Tricks of the Trade, Springer, 2012
attachment
Deep Multi-Camera People Detection, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017
Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model, Yu Yu, Gang Liu and Jean-Marc Odobez, in: European Conference on Computer Vision Workshop, 2018
attachment
DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, Subhadeep Dey, Srikanth Madikeri, Marc Ferras and Petr Motlicek, in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5050-5054, IEEE, 2016
attachment
Deep Neural Networks for Multiple Speaker Detection and Localization, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, AUSTRALIA, pages 74-79, 2018
attachment
[DOI]
Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages, Joël Legrand and Ronan Collobert, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
attachment
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Deep Residual Output Layers for Neural Language Generation, Nikolaos Pappas and James Henderson, in: Proceedings of the 36th International Conference on Machine Learning (ICML), 2019
attachment
Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, Behrooz Razeghi, Parsa Rahimi and Sébastien Marcel, in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024
attachment
[DOI]
[URL]
Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: IET (The Institution of Engineering and Technology) -- Biometrics:1--13, 2017
attachment
[DOI]
Deformable Part Models with Individual Part Scaling, Charles Dubout and Francois Fleuret, in: British Machine Vision Conference, 2013
attachment
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 |