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» Visual Object Recognition Through One-Class Learning
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135
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ICPR
2008
IEEE
16 years 3 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
121
Voted
VISUALIZATION
2005
IEEE
15 years 8 months ago
VolumeShop: An Interactive System for Direct Volume Illustration
Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the fun...
Stefan Bruckner, M. Eduard Gröller
VIS
2004
IEEE
214views Visualization» more  VIS 2004»
16 years 3 months ago
Surface Reconstruction of Noisy and Defective Data Sets
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
Hui Xie, Kevin T. McDonnell, Hong Qin
ICDAR
2011
IEEE
14 years 1 months ago
Wall Patch-Based Segmentation in Architectural Floorplans
Abstract—Segmentation of architectural floorplans is a challenging task, mainly because of the large variability in the notation between different plans. In general, traditional...
Lluís-Pere de las Heras, Joan Mas, Gemma S&...
119
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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 7 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau