3607 search results - page 257 / 722 » Learning with structured sparsity |
143
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
We present a data structure enabling efficient nearest neighbor (NN) retrieval for bregman divergences. The family of bregman divergences includes many popular dissimilarity measu...
122
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ML
2006
ACM
15 years 11 months ago
2006
ACM
Hash-consing is a technique to share values that are structurally equal. Beyond the obvious advantage of saving memory blocks, hash-consing may also be used to speed up fundamenta...
119
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CIVR
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
142
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NIPS
1997
15 years 6 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
137
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...