1900 search results - page 166 / 380 » Gaussian Processes in Machine Learning |
103
Voted
EDUTAINMENT
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. We describe methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. we keep the rendering qu...
156
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ICALP
2011
Springer
14 years 4 months ago
2011
Springer
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
118
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ML
2010
ACM
14 years 7 months ago
2010
ACM
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
89
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
100
Voted
ICIP
2003
IEEE
16 years 2 months ago
2003
IEEE
The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...