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» Reformulating Constraint Models Using Input Data
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113
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CIKM
2009
Springer
15 years 9 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
117
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ICPR
2002
IEEE
16 years 3 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
142
Voted
MM
2006
ACM
218views Multimedia» more  MM 2006»
15 years 8 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
CVPR
2007
IEEE
16 years 4 months ago
Image-Based Localization Using Hybrid Feature Correspondences
Where am I and what am I seeing? This is a classical vision problem and this paper presents a solution based on efficient use of a combination of 2D and 3D features. Given a model...
Fredrik Kahl, Kalle Åström, Klas Joseph...
ECCV
2006
Springer
16 years 4 months ago
Carved Visual Hulls for Image-Based Modeling
Abstract. This article presents a novel method for acquiring high-quality solid models of complex 3D shapes from multiple calibrated photographs. After the purely geometric constra...
Yasutaka Furukawa, Jean Ponce