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» Learning Object Shape: From Drawings to Images
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ICASSP
2010
IEEE
15 years 2 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
107
Voted
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
15 years 7 days ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
131
Voted
IJCV
2007
113views more  IJCV 2007»
15 years 1 months ago
Vision and Rain
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...
Kshitiz Garg, Shree K. Nayar
131
Voted
ADL
2000
Springer
291views Digital Library» more  ADL 2000»
15 years 6 months ago
Electronic Books in Digital Libraries
1 Electronic book is an application with a multimedia database of instructional resources, which include hyperlinked text, instructor’s audio/video clips, slides, animation, stil...
Gultekin Özsoyoglu, Nevzat Hurkan Balkir, Gra...
160
Voted
NABIC
2010
14 years 8 months ago
Evolutionary design of edge detector using rule-changing Cellular automata
A new design method for Cellular automata (CA) rules are described. We have already proposed a method for designing the transition rules of two-dimensional 256-state CA for graysca...
Shohei Sato, Hitoshi Kanoh