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» On Learning Limiting Programs
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ICASSP
2010
IEEE
15 years 6 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
JASIS
2008
94views more  JASIS 2008»
15 years 6 months ago
Eye tracking and online search: Lessons learned and challenges ahead
esult abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all ...
Lori Lorigo, Maya Haridasan, Hrönn Brynjarsd&...
173
Voted
JMLR
2008
79views more  JMLR 2008»
15 years 6 months ago
Manifold Learning: The Price of Normalization
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...
JIKM
2006
167views more  JIKM 2006»
15 years 6 months ago
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
Sang-Jun Han, Sung-Bae Cho
ACL
2010
15 years 4 months ago
A Structured Model for Joint Learning of Argument Roles and Predicate Senses
In predicate-argument structure analysis, it is important to capture non-local dependencies among arguments and interdependencies between the sense of a predicate and the semantic...
Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto