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» Object detection using spatial histogram features
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126
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ICPR
2008
IEEE
15 years 9 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
IJCV
2010
170views more  IJCV 2010»
15 years 28 days ago
Implicit Moment Invariants
Abstract The use of traditional moment invariants in object recognition is limited to simple geometric transforms, such as rotation, scaling and affine transformation of the image...
Jan Flusser, Jaroslav Kautsky, Filip Sroubek
120
Voted
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
15 years 7 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
CVPR
2009
IEEE
16 years 9 months ago
Building a database of 3D scenes from user annotations
In this paper, we wish to build a high quality database of images depicting scenes, along with their real-world threedimensional (3D) coordinates. Such a database is useful for ...
Antonio B. Torralba, Bryan C. Russell
126
Voted
CVPR
2007
IEEE
16 years 4 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs