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» Methods for Combining Statistical Models of Music
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ICASSP
2010
IEEE
13 years 6 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
ICIP
2002
IEEE
14 years 10 months ago
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by tri...
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
ITS
2004
Springer
124views Multimedia» more  ITS 2004»
14 years 1 months ago
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn
MICCAI
2003
Springer
14 years 9 months ago
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
Torbjørn Vik, Fabrice Heitz, Jean-Paul Arms...
ICIP
2003
IEEE
14 years 10 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte