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» Learning Object Representations Using Sequential Patterns
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JMLR
2008
117views more  JMLR 2008»
13 years 10 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
14 years 4 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
ICIAP
2003
ACM
14 years 10 months ago
Multiscale Fourier descriptor for shape classification
The description of the object shape is an important characteristic of the image. In image processing and pattern recognition, several different shape descriptors are used. In huma...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
PR
2006
89views more  PR 2006»
13 years 10 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
PR
2007
129views more  PR 2007»
13 years 9 months ago
EROS: Ensemble rough subspaces
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li