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CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 11 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
15 years 6 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
14 years 11 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
16 years 20 days 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»
14 years 11 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