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Miguel Á. Carreira-Perpiñán
Miguel Á. Carreira-Perpiñán
Professor of Computer Science, University of California, Merced
Verified email at ucmerced.edu - Homepage
Title
Cited by
Cited by
Year
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
12802004
On contrastive divergence learning
MA Carreira-Perpinan, G Hinton
International workshop on artificial intelligence and statistics, 33-40, 2005
10542005
Non-rigid point set registration: Coherent point drift
A Myronenko, X Song, M Carreira-Perpinan
Advances in neural information processing systems 19, 2006
4792006
A review of dimension reduction techniques
MA Carreira-Perpinán
Department of Computer Science. University of Sheffield. Tech. Rep. CS-96-09 …, 1997
4791997
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
4402011
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
3482013
Mode-finding for mixtures of Gaussian distributions
MA Carreira-Perpinan
IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (11), 1318 …, 2000
2952000
“learning-compression” algorithms for neural net pruning
MA Carreira-Perpinán, Y Idelbayev
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2842018
Gaussian mean-shift is an em algorithm
MA Carreira-Perpinan
Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (5), 767-776, 2007
2352007
Constrained spectral clustering through affinity propagation
Z Lu, MA Carreira-Perpinan
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
2312008
Distributed optimization of deeply nested systems
M Carreira-Perpinan, W Wang
Artificial Intelligence and Statistics, 10-19, 2014
2282014
Hashing with binary autoencoders
MA Carreira-Perpinán, R Raziperchikolaei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
2122015
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
1932014
Proximity graphs for clustering and manifold learning
R Zemel, M Carreira-Perpiñán
Advances in neural information processing systems 17, 2004
1812004
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
1802020
A review of mean-shift algorithms for clustering
MA Carreira-Perpinán
arXiv preprint arXiv:1503.00687, 2015
1622015
The Elastic Embedding Algorithm for Dimensionality Reduction.
MA Carreira-Perpinán
ICML 10, 167-174, 2010
1592010
Continuous latent variable models for dimensionality reduction and sequential data reconstruction
MA Carreira-Perpinan
University of Sheffield, 2001
1472001
Fast nonparametric clustering with Gaussian blurring mean-shift
MA Carreira-Perpinán
Proceedings of the 23rd international conference on Machine learning, 153-160, 2006
1462006
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
1192018
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