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ICML
2010
IEEE
15 years 8 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
ICML
2010
IEEE
15 years 7 months ago
A DC Programming Approach for Sparse Eigenvalue Problem
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
Mamadou Thiao, Pham Dinh Tao, Le Thi Hoai An
ICASSP
2010
IEEE
15 years 7 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ICASSP
2010
IEEE
15 years 7 months ago
Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output
Semantic role labeling (SRL) is an important module of spoken language understanding systems. This work extends the standard evaluation metrics for joint dependency parsing and SR...
Benoît Favre, Bernd Bohnet, Dilek Hakkani-T&...
ICASSP
2010
IEEE
15 years 7 months ago
Fast likelihood computation using hierarchical Gaussian shortlists
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...
Xin Lei, Arindam Mandal, Jing Zheng