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FSS
2008
110views more  FSS 2008»
15 years 2 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 3 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
CVPR
2010
IEEE
15 years 6 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
ICCV
2003
IEEE
16 years 4 months ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 3 months ago
PEBL: positive example based learning for Web page classification using SVM
Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang