| Recognizing indoor scenes A Quattoni, A Torralba 2009 IEEE conference on computer vision and pattern recognition, 413-420, 2009 | 1886 | 2009 |
| Conditional random fields for object recognition A Quattoni, M Collins, T Darrell Advances in neural information processing systems 17, 2004 | 1248* | 2004 |
| Hidden conditional random fields for gesture recognition SB Wang, A Quattoni, LP Morency, D Demirdjian, T Darrell 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 675 | 2006 |
| Latent-dynamic discriminative models for continuous gesture recognition LP Morency, A Quattoni, T Darrell 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 524 | 2007 |
| Transfer learning for image classification with sparse prototype representations A Quattoni, M Collins, T Darrell 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 356 | 2008 |
| An efficient projection for l1, ∞ regularization A Quattoni, X Carreras, M Collins, T Darrell Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 213 | 2009 |
| A joint model for 2d and 3d pose estimation from a single image E Simo-Serra, A Quattoni, C Torras, F Moreno-Noguer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 148 | 2013 |
| Learning visual representations using images with captions A Quattoni, M Collins, T Darrell 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 138 | 2007 |
| Spectral learning of weighted automata: A forward-backward perspective B Balle, X Carreras, FM Luque, A Quattoni Machine learning 96, 33-63, 2014 | 97 | 2014 |
| A spectral learning algorithm for finite state transducers B Balle, A Quattoni, X Carreras Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 56 | 2011 |
| Local loss optimization in operator models: A new insight into spectral learning B Balle, A Quattoni, X Carreras arXiv preprint arXiv:1206.6393, 2012 | 50 | 2012 |
| Spectral learning for non-deterministic dependency parsing FM Luque, A Quattoni, B Balle, X Carreras Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 46 | 2012 |
| Results of the sequence prediction challenge (SPiCe): a competition on learning the next symbol in a sequence B Balle, R Eyraud, FM Luque, A Quattoni, S Verwer International conference on grammatical inference, 132-136, 2017 | 29 | 2017 |
| Scalable spectral modeling of sparse sequence functions via a best matching algorithm AJ Quattoni, X Carreras, M Gallé US Patent App. 15/171,393, 2017 | 27 | 2017 |
| Spectral regularization for max-margin sequence tagging A Quattoni, B Balle, X Carreras, A Globerson International Conference on Machine Learning, 1710-1718, 2014 | 22 | 2014 |
| Learning task-specific bilexical embeddings PS Madhyastha, X Carreras Pérez, AJ Quattoni Proceedings of the 25th International Conference on Computational …, 2014 | 20 | 2014 |
| Unsupervised spectral learning of WCFG as low-rank matrix completion R Bailly, X Carreras Pérez, FM Luque, AJ Quattoni Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 17 | 2013 |
| Prepositional phrase attachment over word embedding products X Carreras, AJ Quattoni US Patent App. 15/454,296, 2018 | 14 | 2018 |
| Unsupervised spectral learning of finite state transducers R Bailly, X Carreras, A Quattoni Advances in Neural Information Processing Systems 26, 2013 | 14 | 2013 |
| Spectral learning of sequence taggers over continuous sequences A Recasens, A Quattoni Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 12 | 2013 |
Trevor DarrellProfessor of Computer Science, U.C. Berkeleyeecs.berkeley.edu의 이메일 확인됨
