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ICW
2005
IEEE
130views Communications» more  ICW 2005»
15 years 3 months ago
A Finite-State Markov Chain Model for Statistical Loss Across a RED Queue
Abstract— In this paper, we present an analytical study targeted at statistically capturing the loss behavior of a RED queue. We utilize a finite-state Markov chain model. Start...
Mohit B. Singh, Homayoun Yousefi'zadeh, Hamid Jafa...
NIPS
2001
14 years 11 months ago
Predictive Representations of State
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
GW
2005
Springer
129views Biometrics» more  GW 2005»
15 years 3 months ago
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs
Abstract. A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully cons...
Xiaolin Yang, Feng Jiang, Han Liu, Hongxun Yao, We...
ICASSP
2011
IEEE
14 years 1 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur