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ICIP
1998
IEEE
16 years 1 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
103
Voted
ALMOB
2006
80views more  ALMOB 2006»
15 years 14 days 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
CVIU
2006
162views more  CVIU 2006»
15 years 13 days ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
BMCBI
2010
105views more  BMCBI 2010»
15 years 15 days ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson
CMMR
2008
Springer
152views Music» more  CMMR 2008»
15 years 2 months ago
Labelling the Structural Parts of a Music Piece with Markov Models
Abstract. This paper describes a method for labelling structural parts of a musical piece. Existing methods for the analysis of piece structure often name the parts with musically ...
Jouni Paulus, Anssi Klapuri