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CVPR
2006
IEEE
14 years 11 months ago
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is qui...
Alexander C. Berg, Hao Zhang 0003, Jitendra Malik,...
TIP
2008
154views more  TIP 2008»
13 years 8 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
IV
2010
IEEE
186views Visualization» more  IV 2010»
13 years 6 months ago
Visual Amortization Analysis of Recompilation Strategies
Abstract--Dynamic recompilation tries to produce more efficient code by exploiting runtime information. Virtual machines like the Jikes RVM use recompilation heuristics to decide h...
Stephan Zimmer, Stephan Diehl
ICIP
2010
IEEE
13 years 7 months ago
A supervised micro-calcification detection approach in digitised mammograms
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...
Albert Torrent, Arnau Oliver, Xavier Lladó,...
ECCV
2008
Springer
14 years 11 months ago
3D Face Recognition by Local Shape Difference Boosting
Abstract. A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. The CSDC le...
Yueming Wang, Xiaoou Tang, Jianzhuang Liu, Gang Pa...