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CVPR
2010
IEEE
15 years 6 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ASC
2008
15 years 6 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
CORR
2008
Springer
64views Education» more  CORR 2008»
15 years 6 months ago
An adaptive embedded architecture for real-time Particle Image Velocimetry algorithms
Particle Image Velocimetry (PIV) is a method of imaging and analysing fields of flows. The PIV techniques compute and display all the motion vectors of the field in a resulting im...
Alain Aubert, Nathalie Bochard, Virginie Fresse
TOG
2008
180views more  TOG 2008»
15 years 6 months ago
Interactive relighting of dynamic refractive objects
We present a new technique for interactive relighting of dynamic refractive objects with complex material properties. We describe our technique in terms of a rendering pipeline in...
Xin Sun, Kun Zhou, Eric J. Stollnitz, Jiaoying Shi...
TVCG
2008
140views more  TVCG 2008»
15 years 6 months ago
Efficient Morse Decompositions of Vector Fields
Vector field analysis plays a crucial role in many engineering applications, such as weather prediction, tsunami and hurricane study, and airplane and automotive design. Existing ...
Guoning Chen, Konstantin Mischaikow, Robert S. Lar...