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» Learning to Align: A Statistical Approach
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98
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CVPR
2007
IEEE
15 years 6 months ago
Local Ensemble Kernel Learning for Object Category Recognition
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
107
Voted
ICASSP
2010
IEEE
15 years 21 days ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
124
Voted
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 11 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
119
Voted
CVPR
2012
IEEE
13 years 2 months ago
Hierarchical face parsing via deep learning
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
Ping Luo, Xiaogang Wang, Xiaoou Tang
SP
2002
IEEE
128views Security Privacy» more  SP 2002»
15 years 4 days ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...