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ICMCS
2006
IEEE
115views Multimedia» more  ICMCS 2006»
14 years 3 months ago
People Identification with Limited Labels in Privacy-Protected Video
People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
Yi Chang, Rong Yan, Datong Chen, Jie Yang
ACSC
2008
IEEE
13 years 12 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 4 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
CORR
1999
Springer
118views Education» more  CORR 1999»
13 years 9 months ago
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...
Rebecca Hwa
SIGKDD
2010
151views more  SIGKDD 2010»
13 years 4 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu