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CVPR
2009
IEEE
17 years 1 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
CVPR
2005
IEEE
16 years 10 days ago
A Discriminative Framework for Modelling Object Classes
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Alex Holub, Pietro Perona
ICCV
2009
IEEE
15 years 4 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...
IJAR
2006
197views more  IJAR 2006»
15 years 6 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
SIGMOD
2005
ACM
166views Database» more  SIGMOD 2005»
16 years 6 months ago
Substructure Similarity Search in Graph Databases
Advanced database systems face a great challenge raised by the emergence of massive, complex structural data in bioinformatics, chem-informatics, and many other applications. The ...
Xifeng Yan, Philip S. Yu, Jiawei Han