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» Objective reduction using a feature selection technique
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ICIP
2007
IEEE
15 years 11 months ago
Kernels on Bags of Fuzzy Regions for Fast Object retrieval
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
ECCV
2010
Springer
14 years 11 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
ICPR
2006
IEEE
15 years 11 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
ICDAR
2003
IEEE
15 years 3 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies
LAWEB
2005
IEEE
15 years 3 months ago
A Latency-Based Object Placement Approach in Content Distribution Networks
Content Distribution Networks (CDNs) are increasingly being used to disseminate data in today's Internet aiming at reducing the load on the origin server and the traffic on t...
George Pallis, Athena Vakali, Konstantinos Stamos,...