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PAMI
2010
190views more  PAMI 2010»
13 years 6 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
TVCG
2010
188views more  TVCG 2010»
13 years 6 months ago
Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames
— This paper presents topology-based methods to robustly extract, analyze, and track features defined as subsets of isosurfaces. First, we demonstrate how features identified b...
Peer-Timo Bremer, Gunther H. Weber, Valerio Pascuc...
TVCG
2010
165views more  TVCG 2010»
13 years 6 months ago
A Visual Backchannel for Large-Scale Events
—We introduce the concept of a Visual Backchannel as a novel way of following and exploring online conversations about large-scale events. Microblogging communities, such as Twit...
Marian Dörk, Daniel M. Gruen, Carey Williamso...
ICTAI
2009
IEEE
13 years 5 months ago
A Generalized Cyclic-Clustering Approach for Solving Structured CSPs
We propose a new method for solving structured CSPs which generalizes and improves the Cyclic-Clustering approach [4]. First, the cutset and the tree-decomposition of the constrai...
Cédric Pinto, Cyril Terrioux
CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan