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142
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CVPR
2006
IEEE
16 years 5 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
CVPR
2001
IEEE
16 years 5 months ago
Mixtures of Trees for Object Recognition
Efficient detection of objects in images is complicated by variations of object appearance due to intra-class object differences, articulation, lighting, occlusions, and aspect va...
Sergey Ioffe, David A. Forsyth
JMM2
2006
167views more  JMM2 2006»
15 years 3 months ago
Computer Vision Methods for Improved Mobile Robot State Estimation in Challenging Terrains
External perception based on vision plays a critical role in developing improved and robust localization algorithms, as well as gaining important information about the vehicle and ...
Annalisa Milella, Giulio Reina, Roland Siegwart
116
Voted
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Correlation-based model of color picture watermarking against random geometric distortion
Random geometric distortion is one of the most difficult kinds of image processing to survive and has been a noted problem in watermarking research. Previous methods for dealing ...
Isao Echizen, Yasuhiro Fujii, Takaaki Yamada, Sato...
BMCBI
2008
173views more  BMCBI 2008»
15 years 3 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal