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» Adaptive Kernel Metric Nearest Neighbor Classification
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ICPR
2002
IEEE
14 years 4 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
CVPR
2000
IEEE
13 years 7 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...
PAMI
2002
116views more  PAMI 2002»
13 years 3 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 7 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...
ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
13 years 7 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...