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» Urban Object Recognition from Informative Local Features
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ICPR
2008
IEEE
15 years 11 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
CVPR
2009
IEEE
15 years 4 months ago
Contextualizing histogram
In this paper, we investigate how to incorporate spatial and/or temporal contextual information into classical histogram features with the aim of boosting visual classification p...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 3 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
SPIESR
1996
122views Database» more  SPIESR 1996»
14 years 11 months ago
Retrieval by Content in Symbolic-Image Databases
Two approaches for integrating images into the framework of a database management system are presented. The classi cation approach preprocesses all images and attaches a semantic ...
Aya Soffer, Hanan Samet
ICPR
2004
IEEE
15 years 10 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo