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» Fast Spectral Learning using Lanczos Eigenspace Projections
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AAAI
2008
13 years 7 months ago
Fast Spectral Learning using Lanczos Eigenspace Projections
The core computational step in spectral learning
Sridhar Mahadevan
SIGGRAPH
2009
ACM
13 years 11 months ago
Spectral mesh processing
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
Bruno Lévy, Hao Zhang 0002
ICIP
2007
IEEE
14 years 6 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ICIP
2003
IEEE
14 years 6 months ago
Color photo categorization using compressed histograms and support vector machines
In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
Xia Feng, Jianzhong Fang, Guoping Qiu