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» The Use of Classifiers in Sequential Inference
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INTERSPEECH
2010
14 years 4 months ago
Exploring recognition network representations for efficient speech inference on highly parallel platforms
The emergence of highly parallel computing platforms is enabling new trade-offs in algorithm design for automatic speech recognition. It naturally motivates the following investig...
Jike Chong, Ekaterina Gonina, Kisun You, Kurt Keut...
CDC
2010
IEEE
14 years 4 months ago
Cost-aware Bayesian sequential decision-making for domain search and object classification
This paper focuses on the development of a cost-aware Bayesian sequential decision-making strategy for the search and classification of multiple unknown objects over a given domain...
Yue Wang, Islam I. Hussein, Donald R. Brown, Richa...
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
15 years 3 months ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
IBPRIA
2011
Springer
14 years 1 months ago
Classifying Melodies Using Tree Grammars
Abstract. Similarity computation is a difficult issue in music information retrieval, because it tries to emulate the special ability that humans show for pattern recognition in ge...
José Francisco Bernabeu, Jorge Calera-Rubio...
ACIVS
2005
Springer
15 years 3 months ago
Gender Classification in Human Gait Using Support Vector Machine
We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...
Jang-Hee Yoo, Doosung Hwang, Mark S. Nixon