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INTERSPEECH
2010
13 years 2 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
14 years 1 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
CIKM
2009
Springer
14 years 2 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
HPDC
2006
IEEE
14 years 1 months ago
Materializing Highly Available Grids
Grids are becoming a mission-critical component in research and industry. The services they provide are thus required to be highly available, contributing to the vision of the Gri...
Mark Silberstein, Gabriel Kliot, Artyom Sharov, As...
QOSA
2010
Springer
13 years 11 months ago
Statistical Inference of Software Performance Models for Parametric Performance Completions
Software performance engineering (SPE) enables software architects to ensure high performance standards for their applications. However, applying SPE in practice is still challengi...
Jens Happe, Dennis Westermann, Kai Sachs, Lucia Ka...