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» Evaluating algorithms that learn from data streams
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MIR
2004
ACM
125views Multimedia» more  MIR 2004»
16 years 26 days ago
Autonomous visual model building based on image crawling through internet search engines
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
169
Voted
ICASSP
2009
IEEE
16 years 2 months ago
Data-driven lexicon expansion for Mandarin broadcast news and conversation speech recognition
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
Xin Lei, Wen Wang, Stolcke Stolcke
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
16 years 1 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
217
Voted
ICCS
2007
Springer
16 years 1 months ago
Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management
Abstract. We describe a prototype emergency and disaster information system designed and implemented using DDDAS concepts. The system is designed to use real-time cell phone callin...
Gregory R. Madey, Albert-László Bara...
203
Voted
ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
16 years 1 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan