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ICCV
2011
IEEE
14 years 6 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
DMIN
2006
124views Data Mining» more  DMIN 2006»
15 years 8 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
CONCUR
2009
Springer
16 years 1 months ago
Partially-Commutative Context-Free Processes
Bisimulation equivalence is decidable in polynomial time for both sequential and commutative normed context-free processes, known as BPA and BPP, respectively. Despite apparent sim...
Wojciech Czerwinski, Sibylle B. Fröschle, Sla...
ASAP
2003
IEEE
133views Hardware» more  ASAP 2003»
15 years 12 months ago
Storage Management in Process Networks using the Lexicographically Maximal Preimage
At the Leiden Embedded Research Center, we are developing a compiler called Compaan that automatically translates signal processing applications written in Matlab into Kahn Proces...
Alexandru Turjan, Bart Kienhuis
ICIP
2000
IEEE
16 years 8 months ago
Dynamic Memory Model Based Optimization of Scalar and Vector Quantizer for Fast Image Encoding
The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in ...
Gene Cheung, Steven McCanne