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» Sampling Techniques for Kernel Methods
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TOG
2010
134views more  TOG 2010»
14 years 4 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...
CODES
2005
IEEE
15 years 3 months ago
Shift buffering technique for automatic code synthesis from synchronous dataflow graphs
This paper proposes a new efficient buffer management technique called shift buffering for automatic code synthesis from synchronous dataflow graphs (SDF). Two previous buffer man...
Hyunok Oh, Nikil D. Dutt, Soonhoi Ha
PG
2003
IEEE
15 years 3 months ago
Using Texture Synthesis for Non-Photorealistic Shading from Paint Samples
This paper presents several methods for shading meshes from scanned paint samples that represent dark to light transitions. Our techniques emphasize artistic control of brush stro...
Christopher D. Kulla, James D. Tucek, Reynold J. B...
ALT
2007
Springer
15 years 6 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
SIGMOD
2004
ACM
118views Database» more  SIGMOD 2004»
15 years 10 months ago
Effective Use of Block-Level Sampling in Statistics Estimation
Block-level sampling is far more efficient than true uniform-random sampling over a large database, but prone to significant errors if used to create database statistics. In this ...
Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava