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ICPR
2008
IEEE
15 years 5 months ago
Novel image feature alphabets for object recognition
Most successful object recognition systems are based on a visual alphabet of quantised gradient orientations. Here, we introduce two richer image feature alphabets for use in obje...
Martin Lillholm, Lewis D. Griffin
CVPR
2004
IEEE
16 years 29 days ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
ICPR
2004
IEEE
16 years 1 days ago
Object Class Recognition using Images of Abstract Regions
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
Jeff A. Bilmes, Linda G. Shapiro, Yi Li
MM
2005
ACM
167views Multimedia» more  MM 2005»
15 years 4 months ago
SensEye: a multi-tier camera sensor network
This paper argues that a camera sensor network containing heterogeneous elements provides numerous benefits over traditional homogeneous sensor networks. We present the design an...
Purushottam Kulkarni, Deepak Ganesan, Prashant J. ...
ICPR
2002
IEEE
16 years 1 days ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...