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» T-learning Approach: Enhancing Video with Active Elements
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BMCBI
2008
155views more  BMCBI 2008»
13 years 5 months ago
Prediction of regulatory elements in mammalian genomes using chromatin signatures
Background: Recent genomic scale survey of epigenetic states in the mammalian genomes has shown that promoters and enhancers are correlated with distinct chromatin signatures, pro...
Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang
ICPR
2010
IEEE
13 years 9 months ago
Active Boosting for Interactive Object Retrieval
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...
CVPR
2007
IEEE
14 years 6 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
ICIP
2006
IEEE
14 years 6 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ECLIPSE
2006
ACM
13 years 10 months ago
Guidance through active concerns
Producing usable documentation has always been a tedious task, and even communicating important knowledge about a system among collaborators is difficult. This paper describes an ...
Barthélémy Dagenais, Harold Ossher