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CVPR
2007
IEEE
14 years 6 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
PRL
2000
182views more  PRL 2000»
13 years 4 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
BMCBI
2004
200views more  BMCBI 2004»
13 years 4 months ago
ABC: software for interactive browsing of genomic multiple sequence alignment data
Background: Alignment and comparison of related genome sequences is a powerful method to identify regions likely to contain functional elements. Such analyses are data intensive, ...
Gregory M. Cooper, Senthil A. G. Singaravelu, Aren...
BMCBI
2006
155views more  BMCBI 2006»
13 years 4 months ago
CAVER: a new tool to explore routes from protein clefts, pockets and cavities
Background: The main aim of this study was to develop and implement an algorithm for the rapid, accurate and automated identification of paths leading from buried protein clefts, ...
Martin Petrek, Michal Otyepka, Pavel Banás,...
WWW
2005
ACM
14 years 5 months ago
CubeSVD: a novel approach to personalized Web search
As the competition of Web search market increases, there is a high demand for personalized Web search to conduct retrieval incorporating Web users' information needs. This pa...
Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, ...