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JCIT
2010
160views more  JCIT 2010»
14 years 10 months ago
TOPSIS Method for Multiple Attribute Decision Making with Incomplete Weight Information in Linguistic Setting
The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incomplete...
Jianli Wei
126
Voted
ICPR
2010
IEEE
15 years 3 months ago
Improved Mean Shift Algorithm with Heterogeneous Node Weights
The conventional mean shift algorithm has been known to be sensitive to selecting a bandwidth. We present a robust mean shift algorithm with heterogeneous node weights that come f...
Ji Won Yoon, Simon P. Wilson
POPL
2010
ACM
15 years 5 months ago
Reconfigurable asynchronous logic automata: (RALA)
Computer science has served to insulate programs and programmers from knowledge of the underlying mechanisms used to manipulate information, however this fiction is increasingly h...
Neil Gershenfeld, David Dalrymple, Kailiang Chen, ...
129
Voted
CVPR
2010
IEEE
15 years 7 months ago
Learning Weights for Codebook in Image Classification
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
Hongping Cai, Krystian Mikolajczyk, Fei Yan
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 8 months ago
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
Bianca Zadrozny, John Langford, Naoki Abe