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TKDE
2008
115views more  TKDE 2008»
13 years 9 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
CVPR
2008
IEEE
14 years 11 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
PAMI
2010
164views more  PAMI 2010»
13 years 7 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
ICPR
2004
IEEE
14 years 10 months ago
Levels of Detail Control Based on Correlation Analysis Between Surface Position and Direction
This paper presents a new LOD control method using surface smoothness measure based on correlation analysis between surface position and direction. This control method renders smo...
Tokuo Tsuji, Hongbin Zha, Tsutomu Hasegawa, Ryo Ku...
CIKM
2003
Springer
14 years 2 months ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen