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» Using Classifiers to Solve Warehouse Location Problems
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JAIR
2006
113views more  JAIR 2006»
14 years 10 months ago
Generative Prior Knowledge for Discriminative Classification
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Arkady Epshteyn, Gerald DeJong
ICPR
2010
IEEE
14 years 8 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
ICIAP
2003
ACM
15 years 3 months ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello
HPCN
1995
Springer
15 years 1 months ago
Discrete optimisation and real-world problems
In the global economy, proper organisation and planning of production and storage locations, transportation and scheduling are vital to retain the competitive edge of companies. Th...
Josef Kallrath, Anna Schreieck
ICRA
1994
IEEE
90views Robotics» more  ICRA 1994»
15 years 2 months ago
Inspection Allocation in Manufacturing Systems: A Genetic Algorithm Approach
In this paper, we are concerned with the problem of location of inspection centers in a multistage manufacturing system. A Genetic algorithm based approach is developed to determi...
Mukesh Taneja, Nukala Viswanadham