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» Computing stable models: worst-case performance estimates
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EMMCVPR
2005
Springer
14 years 2 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
JMLR
2010
147views more  JMLR 2010»
13 years 3 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
VLSID
2009
IEEE
144views VLSI» more  VLSID 2009»
14 years 9 months ago
Exploring Carbon Nanotube Bundle Global Interconnects for Chip Multiprocessor Applications
The current paradigm of using Cu interconnects for on-chip global communication is rapidly becoming a serious performance bottleneck in ultra-deep submicron (UDSM) technologies. C...
Sudeep Pasricha, Nikil Dutt, Fadi J. Kurdahi
FGCS
2007
107views more  FGCS 2007»
13 years 8 months ago
Design and analysis of a load balancing strategy in Data Grids
Developing Data Grids has increasingly become a major concern to make Grids attractive for a wide range of data-intensive applications. Storage subsystems are most likely to be a ...
Xiao Qin
EUROGRAPHICS
2010
Eurographics
13 years 10 months ago
User Controllable Color Transfer
This paper presents an image editing framework where users use reference images to indicate desired color edits. In our approach, users specify pairs of strokes to indicate corres...
Xiaobo An and Fabio Pellacini