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CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 7 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
ICDAR
2007
IEEE
14 years 1 months ago
Extraction of Vectorized Graphical Information from Scientific Chart Images
Graphical components information extraction is a crucial step in the chart recognition and understanding process. However, existing methods of information extraction from chart im...
Weihua Huang, Ruizhe Liu, Chew Lim Tan
CG
2008
Springer
13 years 7 months ago
Efficient image reconstruction for point-based and line-based rendering
We address the problem of an efficient image-space reconstruction of adaptively sampled scenes in the context of point-based and line-based graphics. The imagespace reconstruction...
Ricardo Marroquim, Martin Kraus, Paulo Roma Cavalc...
ICIP
2009
IEEE
14 years 8 months ago
Parallel Rate-distortion Optimized Intra Mode Decision On Multi-core Graphics Processors Using Greedy-based Encoding Orders
Rate-distortion (RD) optimized intra-prediction mode selection can lead to significant improvement in coding efficiency in intraframe encoding. However, it would incur considerabl...
CGF
1999
70views more  CGF 1999»
13 years 7 months ago
Modelling and Rendering Graphics Scenes Composed of Multiple Volumetric Datasets
This paper presents a method for modelling graphics scenes consisting of multiple volumetric objects. A twolevel hierarchical representation is employed, which enables the reducti...
Adrian Leu, Min Chen