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JAIR
2011
114views more  JAIR 2011»
14 years 19 days ago
Properties of Bethe Free Energies and Message Passing in Gaussian Models
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...
Botond Cseke, Tom Heskes
CVPR
2004
IEEE
15 years 11 months ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong
ICMCS
2006
IEEE
154views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Implementation and Evolution of Packet Striping for Media Streaming Over Multiple Burst-Loss Channels
Modern mobile devices are multi-homed with WLAN and WWAN communication interfaces. In a community of nodes with such multihomed devices — locally inter-connected via high-speed ...
Gene Cheung, Puneet Sharma, Sung-Ju Lee
GRC
2008
IEEE
14 years 10 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
3DIM
2005
IEEE
15 years 3 months ago
Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserv...
Jangheon Kim, Thomas Sikora