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» Discriminative simplification of mixture models
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ICASSP
2011
IEEE
12 years 10 months ago
Estimation of fundamental frequency from surface electromyographic data: EMG-to-F0
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
Keigo Nakamura, Matthias Janke, Michael Wand, Tanj...
ICIP
2008
IEEE
14 years 8 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
PAMI
2007
191views more  PAMI 2007»
13 years 6 months ago
Adaptive Object Tracking Based on an Effective Appearance Filter
We propose a similarity measure based on a Spatial-color Mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based o...
Hanzi Wang, David Suter, Konrad Schindler, Chunhua...
ICASSP
2009
IEEE
14 years 1 months ago
Modeling instantaneous intonation for speaker identification using the fundamental frequency variation spectrum
In recent years, the field of automatic speaker identification has begun to exploit high-level sources of speaker-discriminative information, in addition to traditional models o...
Kornel Laskowski, Qin Jin
NIPS
2004
13 years 8 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes