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» Supervised dimensionality reduction using mixture models
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IJON
2008
109views more  IJON 2008»
14 years 11 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
NIPS
2001
15 years 1 months ago
Learning Lateral Interactions for Feature Binding and Sensory Segmentation
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
Heiko Wersing
CLEAR
2007
Springer
175views Biometrics» more  CLEAR 2007»
15 years 6 months ago
The IBM RT07 Evaluation Systems for Speaker Diarization on Lecture Meetings
We present the IBM systems for the Rich Transcription 2007 (RT07) speaker diarization evaluation task on lecture meeting data. We first overview our baseline system that was devel...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
ICASSP
2010
IEEE
14 years 12 months ago
Aspect-model-based reference speaker weighting
We propose an aspect-model-based reference speaker weighting. The main idea of the approach is that the adapted model is a linear combination of a set of reference speakers like r...
Seongjun Hahm, Yuichi Ohkawa, Masashi Ito, Motoyuk...
108
Voted
NIPS
1997
15 years 1 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis