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» An overview of clustering methods
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PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
16 years 7 days ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
ECSQARU
2003
Springer
16 years 3 days ago
Computational-Workload Based Binarization and Partition of Qualitative Markov Trees for Belief Combination
Abstract. Binary join trees have been a popular structure to compute the impact of multiple belief functions initially assigned to nodes of trees or networks. Shenoy has proposed t...
Weiru Liu, Xin Hong, Kenneth Adamson
ICIAP
2003
ACM
16 years 2 days ago
Color matching by using tuple matching
In this paper we present a new matching method called Tuple Matching (TM), which is an algorithm for matching of signatures. Since signatures can contain arbitrary features like c...
Dirk Balthasar
ICIP
2002
IEEE
15 years 12 months ago
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images
A novel approach to the detection of multiple sclerosis (MS) lesions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels ...
Daniele Peri, Edoardo Ardizzone, Roberto Pirrone, ...
IPPS
2002
IEEE
15 years 11 months ago
High-Performance Parallel and Distributed Computing for the BMI Eigenvalue Problem
The BMI Eigenvalue Problem is one of optimization problems and is to minimize the greatest eigenvalue of a bilinear matrix function. This paper proposes a parallel algorithm to co...
Kento Aida, Yoshiaki Futakata, Shinji Hara