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» Derivative Meaning in Graphical Representations
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DCC
2011
IEEE
13 years 2 months ago
Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
Xin Hou, Karthik S. Gurumoorthy, Ajit Rajwade
PG
2007
IEEE
14 years 1 months ago
Image-Space Caustics and Curvatures
Caustics are important visual phenomena, as well as challenging global illumination effects in computer graphics. Physically caustics can be interpreted from one of two perspectiv...
Xuan Yu, Feng Li, Jingyi Yu
APGV
2005
ACM
250views Visualization» more  APGV 2005»
14 years 27 days ago
A perceptual framework for contrast processing of high dynamic range images
Image processing often involves an image transformation into a domain that is better correlated with visual perception, such as the wavelet domain, image pyramids, multi-scale con...
Rafal Mantiuk, Karol Myszkowski, Hans-Peter Seidel
JAIR
2008
135views more  JAIR 2008»
13 years 7 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
SGP
2004
13 years 9 months ago
Comparing Point Clouds
Point clouds are one of the most primitive and fundamental surface representations. A popular source of point clouds are three dimensional shape acquisition devices such as laser ...
Facundo Mémoli, Guillermo Sapiro