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» Gaussian Processes for Object Categorization
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ICDE
2006
IEEE
194views Database» more  ICDE 2006»
15 years 11 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
HAPTICS
2007
IEEE
15 years 4 months ago
Surface Interrogation Methods for Haptic Rendering of Virtual Objects
The process which enables virtual objects to mimic their real world counterparts is known as realistic rendering in haptics. Realistic sensations could relate to any spatial featu...
Anusha Sridaran, Dianne Hansford, Kanav Kahol, Set...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
MVA
2007
186views Computer Vision» more  MVA 2007»
14 years 9 months ago
Probabilistic-topological calibration of widely distributed camera networks
Abstract We propose a method for estimating the topology of distributed cameras, which can provide useful information for multi-target tracking in a wide area, without object ident...
Norimichi Ukita
COMAD
2009
14 years 11 months ago
A Feasibility Study on Automating the Automotive Insurance Claims Processing
In this paper, we present a feasibility study in automating the insurance claims processing system related to automotive sector. In automobile insurance claims processing, usually...
Jayanta Basak, Desmond Lim