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» On learning with dissimilarity functions
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PVLDB
2010
121views more  PVLDB 2010»
13 years 3 months ago
Efficient RkNN Retrieval with Arbitrary Non-Metric Similarity Measures
A RkNN query returns all objects whose nearest k neighbors contain the query object. In this paper, we consider RkNN query processing in the case where the distances between attri...
Deepak P, Prasad Deshpande
CVPR
2008
IEEE
14 years 11 months ago
Rank-based distance metric learning: An application to image retrieval
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Jung-Eun Lee, Rong Jin, Anil K. Jain
COLT
2004
Springer
14 years 2 months ago
A Function Representation for Learning in Banach Spaces
Charles A. Micchelli, Massimiliano Pontil
ICML
2007
IEEE
14 years 10 months ago
Neighbor search with global geometry: a minimax message passing algorithm
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
Kye-Hyeon Kim, Seungjin Choi
TCS
2008
13 years 9 months ago
Learning recursive functions: A survey
Studying the learnability of classes of recursive functions has attracted considerable interest for at least four decades. Starting with Gold's (1967) model of learning in th...
Thomas Zeugmann, Sandra Zilles