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» Modelling Smooth Paths Using Gaussian Processes
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106
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ICIP
2006
IEEE
16 years 3 months ago
Detecting Occlusion for Hidden Markov Modeled Shapes
In this paper, we present a novel occlusion detection scheme for hidden Markov modeled shapes. First, hidden Markov model (HMM) is built using multiple examples of the shape. A re...
Ninad Thakoor, Sungyong Jung, Jean Gao
163
Voted
DAGM
2011
Springer
14 years 1 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
126
Voted
ICASSP
2008
IEEE
15 years 8 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 8 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ICASSP
2010
IEEE
15 years 13 days ago
A HMM-based speech synthesis system using a new glottal source and vocal-tract separation method
This paper introduces a HMM-based speech synthesis system which uses a new method for the Separation of Vocal-tract and LiljencrantsFant model plus Noise (SVLN). The glottal sourc...
Pierre Lanchantin, Gilles Degottex, Xavier Rodet