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JMLR
2010
129views more  JMLR 2010»
13 years 2 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
CORR
2011
Springer
179views Education» more  CORR 2011»
12 years 11 months ago
Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing
: We demonstrate that sub-wavelength optical images borne on partially-spatially-incoherent light can be recovered, from their far-field or from the blurred image, given the prior ...
Yoav Shechtman, Yonina C. Eldar, Alexander Szameit...
ICASSP
2011
IEEE
12 years 11 months ago
Single-frame-based rain removal via image decomposition
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely st...
Yu-Hsiang Fu, Li-Wei Kang, Chia-Wen Lin, Chiou-Tin...
ICASSP
2011
IEEE
12 years 11 months ago
The value of redundant measurement in compressed sensing
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
ICCV
2011
IEEE
12 years 7 months ago
Predicting Occupation via Human Clothing and Contexts
Predicting human occupations in photos has great application potentials in intelligent services and systems. However, using traditional classification methods cannot reliably dis...
Zheng Song, Meng Wang, Xian-Sheng Hua, Shuicheng Y...