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» Modeling interleaved hidden processes
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DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 5 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
ICASSP
2011
IEEE
13 years 2 months ago
Discriminative training for Bayesian sensing hidden Markov models
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
George Saon, Jen-Tzung Chien
ICASSP
2011
IEEE
13 years 2 months ago
Polyphonic audio-to-score alignment based on Bayesian Latent Harmonic Allocation Hidden Markov Model
This paper presents a Bayesian method for temporally aligning a music score and an audio rendition. A critical problem in audio-toscore alignment is in dealing with the wide varie...
Akira Maezawa, Hiroshi G. Okuno, Tetsuya Ogata, Ma...
CVPR
2003
IEEE
15 years 28 days ago
Switching Observation Models for Contour Tracking in Clutter
In Proc. of IEEE Conf. on CVPR'03, Madison, Wisconsin, 2003 We propose a generative model approach to contour tracking against non-stationary clutter and to coping with occlu...
Ying Wu, Gang Hua, Ting Yu
ICIP
2008
IEEE
15 years 19 days ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...