99 search results - page 13 / 20 » Learning Taxonomies by Dependence Maximization |
115
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AI
2007
Springer
15 years 15 days ago
2007
Springer
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
131
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KDD
2010
ACM
15 years 4 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
135
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ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
: D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi HP Labo...
130
Voted
CICC
2011
14 years 10 days ago
2011
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
104
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IJCV
2008
15 years 11 days ago
2008
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...