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» Learning Compositional Categorization Models
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TNN
1998
123views more  TNN 1998»
13 years 7 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
CVPR
2005
IEEE
14 years 9 months ago
Multi-Output Regularized Projection
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
Kai Yu, Shipeng Yu, Volker Tresp
DIS
2009
Springer
14 years 2 months ago
Contrasting Sequence Groups by Emerging Sequences
Abstract. Group comparison per se is a fundamental task in many scientific endeavours but is also the basis of any classifier. Contrast sets and emerging patterns contrast betwee...
Kang Deng, Osmar R. Zaïane
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 23 days ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
ECCV
2010
Springer
14 years 16 days ago
Building Compact Local Pairwise Codebook with Joint Feature Space Clustering
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...