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» Composite kernel learning
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128
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CVPR
2010
IEEE
15 years 1 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
145
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MICAI
2007
Springer
15 years 9 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
125
Voted
ACL
2007
15 years 5 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
131
Voted
LREC
2010
217views Education» more  LREC 2010»
15 years 5 months ago
The Dictionary of Italian Collocations: Design and Integration in an Online Learning Environment
In this paper, I introduce the DICI, an electronic dictionary of Italian collocations designed to support the acquisition of the collocational competence in learners of Italian as...
Stefania Spina
92
Voted
LREC
2010
119views Education» more  LREC 2010»
15 years 5 months ago
Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches
This paper presented an overview of Chinese bi-character words' morphological types, and proposed a set of features for machine learning approaches to predict these types bas...
Ting-Hao Huang, Lun-Wei Ku, Hsin-Hsi Chen