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» Limits of Learning-Based Superresolution Algorithms
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ISCA
2006
IEEE
138views Hardware» more  ISCA 2006»
14 years 1 months ago
Learning-Based SMT Processor Resource Distribution via Hill-Climbing
The key to high performance in Simultaneous Multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distributio...
Seungryul Choi, Donald Yeung
SIGGRAPH
2010
ACM
13 years 11 months ago
Apparent display resolution enhancement for moving images
Limited spatial resolution of current displays makes the depiction of very fine spatial details difficult. This work proposes a novel method applied to moving images that takes ...
Piotr Didyk, Elmar Eisemann, Tobias Ritschel, Karo...
ICASSP
2007
IEEE
14 years 1 months ago
POCS-Based Restoration of Bayer-Sampled Image Sequences
Spatial resolution of digital images are limited due to optical/sensor blurring and sensor site density. In single-chip digital cameras, the resolution is further degraded because...
Murat Gevrekci, Bahadir K. Gunturk, Yucel Altunbas...
ATAL
2009
Springer
14 years 1 months ago
Learning of coordination: exploiting sparse interactions in multiagent systems
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
Francisco S. Melo, Manuela M. Veloso
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 1 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels