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MVA
1996
15 years 8 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 7 months ago
The semantic mapping of words and co-words in contexts
Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of document...
Loet Leydesdorff, Kasper Welbers
138
Voted
IJCV
2008
167views more  IJCV 2008»
15 years 6 months ago
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
Abstract. A novel adaptive and exemplar-based approach is proposed for image restoration (denoising) and representation. The method is based on a pointwise selection of similar ima...
Charles Kervrann, Jérôme Boulanger
SIAMCOMP
2008
123views more  SIAMCOMP 2008»
15 years 6 months ago
Approximation Algorithms for Biclustering Problems
One of the main goals in the analysis of microarray data is to identify groups of genes and groups of experimental conditions (including environments, individuals, and tissues) tha...
Lusheng Wang, Yu Lin, Xiaowen Liu
184
Voted
CVPR
2008
IEEE
16 years 8 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...