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» Estimating Likelihoods for Topic Models
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126
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ECCV
1994
Springer
15 years 4 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
91
Voted
ICIP
2010
IEEE
14 years 10 months ago
A non-stationary Hidden Markov Model of multiview video traffic
Multiview video is increasingly getting attention due to emerging applications such as 3DTV and immersive teleconferencing. In this paper, we present a non-stationary Hidden Marko...
Lorenzo Rossi, Jacob Chakareski, Pascal Frossard, ...
121
Voted
TASLP
2010
97views more  TASLP 2010»
14 years 7 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
110
Voted
ISMIR
2005
Springer
142views Music» more  ISMIR 2005»
15 years 6 months ago
A Probabilistic Model for Chord Progressions
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
Jean-François Paiement, Douglas Eck, Samy B...
97
Voted
DIS
2004
Springer
15 years 6 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo