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ICASSP
2010
IEEE
15 years 2 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...
111
Voted
ICPR
2002
IEEE
16 years 4 months ago
Improving Face Verification Using Skin Color Information
The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods o...
Sébastien Marcel, Samy Bengio
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
15 years 10 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li
115
Voted
PE
2007
Springer
130views Optimization» more  PE 2007»
15 years 3 months ago
Performability analysis of clustered systems with rejuvenation under varying workload
This paper develops time-based rejuvenation policies to improve the performability measures of a cluster system. Three rejuvenation policies, namely standard rejuvenation, delayed...
Dazhi Wang, Wei Xie, Kishor S. Trivedi
132
Voted
ICPR
2008
IEEE
15 years 10 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji