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» Sequential predictions based on algorithmic complexity
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164
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MICCAI
2007
Springer
16 years 3 months ago
Object Localization Based on Markov Random Fields and Symmetry Interest Points
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...
Branislav Micusík, Georg Langs, Horst Bisch...
ICMCS
2005
IEEE
124views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Fast inter frame encoding based on modes pre-decision in H.264
The new video coding standard, H.264 allows motion estimation performing on tree-structured block partitioning and multiple reference frames. This feature improves the prediction ...
Dongming Zhang, Yanfei Shen, Shouxun Lin, Yongdong...
122
Voted
ICASSP
2007
IEEE
15 years 8 months ago
Toward Turbo Decoding of RNA Secondary Structure
We propose an iterative probabilistic algorithm for estimation of RNA secondary structure using sequence data from two homologous sequences. The method is intended to exploit inte...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
135
Voted
BMCBI
2004
133views more  BMCBI 2004»
15 years 2 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 6 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...