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SAC
2005
ACM
15 years 10 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
WWW
2005
ACM
15 years 10 months ago
Shared lexicon for distributed annotations on the Web
The interoperability among distributed and autonomous systems is the ultimate challenge facing the semantic web. Heterogeneity of data representation is the main source of problem...
Paolo Avesani, Marco Cova
APWEB
2005
Springer
15 years 10 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
CIVR
2005
Springer
15 years 10 months ago
EMD-Based Video Clip Retrieval by Many-to-Many Matching
This paper presents a new approach for video clip retrieval based on Earth Mover’s Distance (EMD). Instead of imposing one-to-one matching constraint as in [11, 14], our approach...
Yuxin Peng, Chong-Wah Ngo
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 10 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne