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» A Linear Programming Approach for Multiple Object Tracking
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CIVR
2006
Springer
131views Image Analysis» more  CIVR 2006»
13 years 11 months ago
A Multi-feature Optimization Approach to Object-Based Image Classification
This paper proposes a novel approach for the construction and use of multi-feature spaces in image classification. The proposed technique combines low-level descriptors and defines...
Qianni Zhang, Ebroul Izquierdo
FCT
2007
Springer
14 years 1 months ago
Analysis of Approximation Algorithms for k-Set Cover Using Factor-Revealing Linear Programs
We present new combinatorial approximation algorithms for k-set cover. Previous approaches are based on extending the greedy algorithm by efficiently handling small sets. The new a...
Stavros Athanassopoulos, Ioannis Caragiannis, Chri...
IWVF
2001
Springer
14 years 4 days ago
Judging Whether Multiple Silhouettes Can Come from the Same Object
We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, suc...
David W. Jacobs, Peter N. Belhumeur, Ian Jermyn
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
13 years 11 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
ISBI
2009
IEEE
14 years 2 months ago
Multiple Hypothesis Tracking in Microscopy Images
Multiple hypothesis tracking (MHT) is a preferred technique for solving the data association problem in modern multiple target tracking systems. However in bioimaging applications...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...