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CVPR
2010
IEEE
14 years 5 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
E2EMON
2006
IEEE
14 years 2 months ago
Active Probing Approach for Fault Localization in Computer Networks
—Active probing is an active network monitoring technique that has potential for developing effective solutions for fault localization. In this paper we use active probing to pre...
Maitreya Natu, Adarshpal S. Sethi
ICASSP
2009
IEEE
14 years 3 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
IWCMC
2009
ACM
14 years 3 months ago
Quantized transmit beamforming with antenna selection in a MIMO channel
For a point-to-point multi-input multi-output (MIMO) wireless channel, we propose a feedback scheme, which consists of transmit-antenna selection algorithm and beamforming quantiz...
Wiroonsak Santipach
WWW
2006
ACM
14 years 9 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu