2245 search results - page 314 / 449 » Metrics that Learn Relevance |
139
Voted
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
137
click to vote
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
122
Voted
WWW
2009
ACM
16 years 4 months ago
2009
ACM
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
122
Voted
ALT
2009
Springer
16 years 27 days ago
2009
Springer
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
199
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ICML
2006
IEEE
16 years 19 days ago
2006
IEEE
We present a tree data structure for fast
nearest neighbor operations in general n-
point metric spaces (where the data set con-
sists of n points). The data structure re-
quir...