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» Locally Adaptive Metric Nearest-Neighbor Classification
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ICPR
2002
IEEE
14 years 6 months ago
Adaptive Kernel Metric Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
Jing Peng, Douglas R. Heisterkamp, H. K. Dai
PAMI
2002
116views more  PAMI 2002»
13 years 4 months ago
Locally Adaptive Metric Nearest-Neighbor Classification
Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulo...
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
13 years 8 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
CVPR
2000
IEEE
13 years 8 months ago
Adaptive Metric nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Pen...
ICML
2008
IEEE
14 years 5 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul