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» Object categorization using co-occurrence, location and appe...
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CVPR
2007
IEEE
14 years 9 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
MVA
1990
114views Computer Vision» more  MVA 1990»
13 years 8 months ago
Radar Image Processing for Locating Underground Linear Objects
This paper presents an image processing method for locating underground linear objects using ground-probing radar data. One of the problems when using groundprobing radars is how ...
Toru Kaneko
MHCI
2005
Springer
14 years 1 months ago
Survey of position location techniques in mobile systems
The growth of mobile technology has made recording of user’s location possible. The systems that intent to use location in order to register user’s movement and to use the gen...
Thanos Manesis, Nikolaos M. Avouris
VLDB
1998
ACM
127views Database» more  VLDB 1998»
13 years 11 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...
CVPR
2008
IEEE
13 years 9 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash