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SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 7 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
CORR
2010
Springer
214views Education» more  CORR 2010»
15 years 6 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran
KES
2008
Springer
15 years 4 months ago
Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations
Abstract. Motivation: Although studies have shown that genetic alterations are causally involved in numerous human diseases, still not much is known about the molecular mechanisms ...
Anneleen Daemen, Olivier Gevaert, Karin Leunen, Va...
ICCV
2003
IEEE
16 years 8 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
ICIP
2007
IEEE
16 years 8 months ago
Transform Coder Classification for Digital Image Forensics
The area of non-intrusive forensic analysis has found many applications in the area of digital imaging. One unexplored area is the identification of source coding in digital image...
Steven Tjoa, Wan-Yi Sabrina Lin, K. J. Ray Liu