1775 search results - page 250 / 355 » Learning Spectral Clustering |
156
Voted
TNN
2010
14 years 10 months ago
2010
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
175
Voted
JMLR
2012
13 years 6 months ago
2012
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
119
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
143
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
116
Voted
ISBI
2008
IEEE
15 years 10 months ago
2008
IEEE
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...