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» Analysis on a Local Approach to 3D Object Recognition
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ICPR
2006
IEEE
14 years 11 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
ICDAR
2003
IEEE
14 years 3 months ago
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
ICIP
2009
IEEE
13 years 8 months ago
Category sensitive codebook construction for object category recognition
Recently, the bag of visual words based image representation is getting popular in object category recognition. Since the codebook of the bag-of-words (BOW) based image representa...
Chunjie Zhang, Jing Liu, Yi Ouyang, Qi Tian, Hanqi...
CVPR
2012
IEEE
12 years 17 days ago
Leveraging stereopsis for saliency analysis
Stereopsis provides an additional depth cue and plays an important role in the human vision system. This paper explores stereopsis for saliency analysis and presents two approache...
Yuzhen Niu, Yujie Geng, Xueqing Li, Feng Liu
IBPRIA
2007
Springer
14 years 4 months ago
Three-Dimensional Ultrasonic Assessment of Atherosclerotic Plaques
Carotid atherosclerosis is the most common life-threatening neurological disease and therefore an accurate assessment of atheromatous plaques is clinically important. Several studi...
José Seabra, João Sanches, Luí...