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ICASSP
2010
IEEE
15 years 4 months ago
A novel estimation of feature-space MLLR for full-covariance models
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
EELC
2006
121views Languages» more  EELC 2006»
15 years 7 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
SIGMOD
1995
ACM
80views Database» more  SIGMOD 1995»
15 years 7 months ago
Join Queries with External Text Sources: Execution and Optimization Techniques
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Surajit Chaudhuri, Umeshwar Dayal, Tak W. Yan
MCS
2010
Springer
15 years 5 months ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
ICASSP
2009
IEEE
15 years 10 months ago
Bispectrum on finite groups
The algebraic theory of finite groups appears in signal processing problems involving the statistical analysis of ranked data and the construction of invariants for pattern recog...
Ramakrishna Kakarala