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JMLR
2012
11 years 11 months ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
COLT
1994
Springer
14 years 1 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
COLT
2008
Springer
13 years 10 months ago
Combining Expert Advice Efficiently
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
Wouter M. Koolen, Steven de Rooij
ISMIR
2005
Springer
122views Music» more  ISMIR 2005»
14 years 2 months ago
Continuous HMM and Its Enhancement for Singing/Humming Query Retrieval
The use of HMM (Hidden Markov Models) for speech recognition has been successful for various applications in the past decades. However, the use of continuous HMM (CHMM) for melody...
Jyh-Shing Roger Jang, Chao-Ling Hsu, Hong-Ru Lee
TCSV
2010
13 years 3 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...