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CSL
2010
Springer
13 years 9 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
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...
GLOBECOM
2007
IEEE
14 years 3 months ago
Improving Availability with Adaptive Roaming Replicas in Presence of Determined DoS Attacks
— Static replicas have been proven useful in providing fault tolerance and load balancing, but they may not provide enough assurance on the continuous availability of missioncrit...
Chin-Tser Huang, Prasanth Kalakota, Alexander B. A...
TCOM
2010
131views more  TCOM 2010»
13 years 7 months ago
Distance-based node activation for geographic transmissions in fading channels
In wireless multi-hop packet radio networks (MPRNs) that employ geographic transmissions, sleep schedules or node activation techniques may be used to power off some nodes to cons...
Tathagata D. Goswami, John M. Shea, Murali Rao, Jo...
BMCBI
2010
165views more  BMCBI 2010»
13 years 9 months ago
Multivariate meta-analysis of proteomics data from human prostate and colon tumours
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Lina Hultin Rosenberg, Bo Franzén, Gert Aue...