Multiscale conditional random fields for image labeling X He, RS Zemel, MA Carreira-Perpinán Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 1280 | 2004 |
On contrastive divergence learning MA Carreira-Perpinan, G Hinton International workshop on artificial intelligence and statistics, 33-40, 2005 | 1053 | 2005 |
A review of dimension reduction techniques MA Carreira-Perpinán Department of Computer Science. University of Sheffield. Tech. Rep. CS-96-09 …, 1997 | 478 | 1997 |
Non-rigid point set registration: Coherent point drift A Myronenko, X Song, M Carreira-Perpinan Advances in neural information processing systems 19, 2006 | 477 | 2006 |
OBSERVE: Occupancy-based system for efficient reduction of HVAC energy VL Erickson, MÁ Carreira-Perpiñán, AE Cerpa Proceedings of the 10th ACM/IEEE international conference on information …, 2011 | 440 | 2011 |
Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application W Wang, MA Carreira-Perpinán arXiv preprint arXiv:1309.1541, 2013 | 347 | 2013 |
Mode-finding for mixtures of Gaussian distributions MA Carreira-Perpinan IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (11), 1318 …, 2000 | 295 | 2000 |
“learning-compression” algorithms for neural net pruning MA Carreira-Perpinán, Y Idelbayev Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 284 | 2018 |
Gaussian mean-shift is an em algorithm MA Carreira-Perpinan Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (5), 767-776, 2007 | 235 | 2007 |
Constrained spectral clustering through affinity propagation Z Lu, MA Carreira-Perpinan 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 231 | 2008 |
Distributed optimization of deeply nested systems M Carreira-Perpinan, W Wang Artificial Intelligence and Statistics, 10-19, 2014 | 228 | 2014 |
Hashing with binary autoencoders MA Carreira-Perpinán, R Raziperchikolaei Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 212 | 2015 |
Occupancy modeling and prediction for building energy management VL Erickson, MÁ Carreira-Perpinán, AE Cerpa ACM Transactions on Sensor Networks (TOSN) 10 (3), 1-28, 2014 | 193 | 2014 |
Proximity graphs for clustering and manifold learning R Zemel, M Carreira-Perpiñán Advances in neural information processing systems 17, 2004 | 181 | 2004 |
Low-rank compression of neural nets: Learning the rank of each layer Y Idelbayev, MA Carreira-Perpinán Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 180 | 2020 |
A review of mean-shift algorithms for clustering MA Carreira-Perpinán arXiv preprint arXiv:1503.00687, 2015 | 161 | 2015 |
The Elastic Embedding Algorithm for Dimensionality Reduction. MA Carreira-Perpinán ICML 10, 167-174, 2010 | 159 | 2010 |
Continuous latent variable models for dimensionality reduction and sequential data reconstruction MA Carreira-Perpinan University of Sheffield, 2001 | 147 | 2001 |
Fast nonparametric clustering with Gaussian blurring mean-shift MA Carreira-Perpinán Proceedings of the 23rd international conference on Machine learning, 153-160, 2006 | 146 | 2006 |
Alternating optimization of decision trees, with application to learning sparse oblique trees MA Carreira-Perpinán, P Tavallali Advances in neural information processing systems 31, 2018 | 119 | 2018 |