240 search results - page 6 / 48 » Laplacian Spectrum Learning |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
NIPS
2008
13 years 9 months ago
2008
Semantic hashing[1] seeks compact binary codes of data-points so that the Hamming distance between codewords correlates with semantic similarity. In this paper, we show that the p...
ML
2010
ACM
13 years 2 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
In the machine learning community it is generally believed that graph Laplacians corresponding to a finite sample of data points converge to a continuous Laplace operator if the s...
NIPS
2004
13 years 9 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...