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» Using Classifiers to Solve Warehouse Location Problems
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EOR
2006
76views more  EOR 2006»
14 years 9 months ago
Load balancing and capacity constraints in a hierarchical location model
Recent work on the location of perinatal facilities in the municipality of Rio de Janeiro resulted in the development of an uncapacitated, three-level hierarchical model. An impor...
Roberto D. Galvão, Luis Gonzalo Acosta Espe...
IROS
2007
IEEE
127views Robotics» more  IROS 2007»
15 years 4 months ago
Goal directed navigation with uncertainty in adversary locations
— This paper addresses the problem of planning for goal directed navigation in the environment that contains a number of possible adversary locations. It first shows that common...
Maxim Likhachev, Anthony Stentz
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
NPL
2006
137views more  NPL 2006»
14 years 9 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
MICCAI
2008
Springer
15 years 11 months ago
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matt...