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IJCV
2006
299views more  IJCV 2006»
15 years 6 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
JMLR
2008
230views more  JMLR 2008»
15 years 6 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 6 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
CORR
2004
Springer
196views Education» more  CORR 2004»
15 years 6 months ago
Swarming around Shellfish Larvae
: The collection of wild larvae seed as a source of raw material is a major sub industry of shellfish aquaculture. To predict when, where and in what quantities wild seed will be a...
Vitorino Ramos, Jonathan Campbell, John Slater, Jo...
CGF
2002
135views more  CGF 2002»
15 years 5 months ago
Slow Growing Subdivision (SGS) in Any Dimension: Towards Removing the Curse of Dimensionality
In recent years subdivision methods have been one of the most successful techniques applied to the multi-resolution representation and visualization of surface meshes. Extension t...
Valerio Pascucci