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117
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DIS
2010
Springer
14 years 11 months ago
Speeding Up and Boosting Diverse Density Learning
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
James R. Foulds, Eibe Frank
93
Voted
JAT
2010
71views more  JAT 2010»
14 years 11 months ago
Functions with prescribed best linear approximations
A common problem in applied mathematics is that of finding a function in a Hilbert space with prescribed best approximations from a finite number of closed vector subspaces. In ...
Patrick L. Combettes, Noli N. Reyes
71
Voted
COLING
2010
14 years 7 months ago
Kernel Slicing: Scalable Online Training with Conjunctive Features
This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly consid...
Naoki Yoshinaga, Masaru Kitsuregawa
75
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Exploring nuisance attribute projection and score normalization for GLDS-SVM based automatic mispronunciation detection method
In the task of mispronunciation detection, the cross-speaker degradation and some other confusing nuisances are the challenging problems demanding prompt solution. In this paper, ...
Hongyan Li, Shen Huang, Shijin Wang, Jiaen Liang, ...
75
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CAIP
2005
Springer
105views Image Analysis» more  CAIP 2005»
15 years 6 months ago
Recognition of Partially Occluded and Deformed Binary Objects
A method dealing with recognition of partially occluded and affine transformed binary objects is presented. The method is designed for objects with smooth curved boundary. It divi...
Ondrej Horácek, Jan Kamenický, Jan F...