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» On the Network Complexity of Selection
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SSPR
2004
Springer
16 years 23 hour ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
COMPSAC
2003
IEEE
15 years 12 months ago
A Strategy for Selecting Synchronization Sequences to Test Concurrent Object-Oriented Software
Testing is the most commonly used approach to the assurance of software quality and reliability. The testing of object-oriented software is much more complex than that of conventi...
Huo Yan Chen, Yu Xia Sun, T. H. Tse
ECBS
1997
IEEE
103views Hardware» more  ECBS 1997»
15 years 11 months ago
The Advanced Battlefield Architecture for Tactical Information Selection (ABATIS)
Modern warfare requires the understanding and management of increasingly complex assemblages of resources. The Advanced Battlefield Architecture for TacticalInformation Selection ...
J. S. Keane, Jerzy W. Rozenblit, Michael Barnes
ICASSP
2010
IEEE
15 years 6 months ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
ICIP
2009
IEEE
15 years 4 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler