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111
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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
14 years 11 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
CORR
2012
Springer
163views Education» more  CORR 2012»
13 years 8 months ago
The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
Michael P. Wellman, Lu Hong, Scott E. Page
71
Voted
ICPR
2004
IEEE
16 years 1 months ago
A New Optimised De Bruijn Coding Strategy for Structured Light Patterns
Coded structured light is an optical technique based on active stereovision that obtains the shape of objects. Oneshot techniques are based on projecting a unique light pattern wi...
Joaquim Salvi, Jordi Pagès, Josep Forest
94
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ICIP
2009
IEEE
16 years 1 months ago
Exploiting Local Structure For Tracking Plant Cells In Noisy Images
In this paper, we present a local graph matching based method for tracking cells and cell divisions in noisy images. We work with plant cells, where the cells are tightly clustere...
74
Voted
IPMI
2001
Springer
16 years 1 months ago
Analyzing the Neocortical Fine-Structure
Cytoarchitectonic fields of the human neocortex are defined by characteristic variations in the composition of a general six-layer structure. It is commonly accepted that these fie...
Christopher J. Wiggins, D. Yves von Cramon, Frithj...