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PAMI
2006
143views more  PAMI 2006»
13 years 7 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
ICASSP
2009
IEEE
14 years 2 months ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero
COGSR
2011
109views more  COGSR 2011»
13 years 3 months ago
How groups develop a specialized domain vocabulary: A cognitive multi-agent model
We simulate the evolution of a domain vocabulary in small communities. Empirical data show that human communicators can evolve graphical languages quickly in a constrained task (P...
David Reitter, Christian Lebiere
DSP
2007
13 years 8 months ago
Short-time phase spectrum in speech processing: A review and some experimental results
Incorporating information from the short-time phase spectrum into a feature set for automatic speech recognition (ASR) may possibly serve to improve recognition accuracy. Currentl...
Leigh D. Alsteris, Kuldip K. Paliwal
CVPR
2005
IEEE
14 years 10 months ago
Computer Vision for Music Identification
We describe how certain tasks in the audio domain can be effectively addressed using computer vision approaches. This paper focuses on the problem of music identification, where t...
Yan Ke, Derek Hoiem, Rahul Sukthankar