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ICPR
2000
IEEE
13 years 12 months ago
Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
Qing Wang, Rongchun Zhao, Zheru Chi, David Dagan F...
ICIP
2010
IEEE
13 years 5 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, ...
ICASSP
2011
IEEE
12 years 11 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
IWPSE
2007
IEEE
14 years 1 months ago
Using concept analysis to detect co-change patterns
Software systems need to change over time to cope with new requirements, and due to design decisions, the changes happen to crosscut the system’s structure. Understanding how ch...
Tudor Gîrba, Stéphane Ducasse, Adrian...
ALMOB
2006
80views more  ALMOB 2006»
13 years 7 months ago
Pattern statistics on Markov chains and sensitivity to parameter estimation
Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
Grégory Nuel