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ICDAR
2005
IEEE
14 years 4 months ago
Prototype Learning Methods for Online Handwriting Recognition
In this paper, we study different methods for prototype selection for recognizing handwritten characters of Tamil script. In the first method, cumulative pairwise- distances of th...
B. S. Raghavendra, C. K. Narayanan, G. Sita, A. G....
ALT
2009
Springer
14 years 2 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
CVPR
2008
IEEE
15 years 29 days ago
Face tracking and recognition with visual constraints in real-world videos
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...
Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Hen...
ICASSP
2011
IEEE
13 years 2 months ago
Cross-language bootstrapping based on completely unsupervised training using multilingual A-stabil
This paper presents our work on rapid language adaptation of acoustic models based on multilingual cross-language bootstrapping and unsupervised training. We used Automatic Speech...
Ngoc Thang Vu, Franziska Kraus, Tanja Schultz
ICASSP
2011
IEEE
13 years 2 months ago
Eigentriphones: A basis for context-dependent acoustic modeling
In context-dependent acoustic modeling, it is important to strike a balance between detailed modeling and data sufficiency for robust estimation of model parameters. In the past,...
Tom Ko, Brian Mak