333 search results - page 53 / 67 » B-Matching for Spectral Clustering |
62
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— During the last years, high throughput experiments have become very popular. During the analysis of such data the need for a functional grouping of genes arises. In thi...
128
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PAMI
2012
12 years 12 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
MM
2005
ACM
15 years 3 months ago
2005
ACM
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
115
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CVPR
2010
IEEE
15 years 24 days ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
100
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...