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» Reducing the Complexity of Reductions
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SIP
2007
15 years 8 months ago
Adaptive large scale artifact reduction in edge-based image super-resolution
— The goal of multi-frame image super-resolution is to use information from low-resolution images to construct highresolution images. Current multi-frame image super-resolution m...
Alexander Wong, William Bishop
ASE
2004
167views more  ASE 2004»
15 years 6 months ago
Cluster-Based Partial-Order Reduction
The verification of concurrent systems through an exhaustive traversal of the state space suffers from the infamous state-space-explosion problem, caused by the many interleavings ...
Twan Basten, Dragan Bosnacki, Marc Geilen
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
15 years 4 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
TVCG
2011
170views more  TVCG 2011»
15 years 1 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...
TSP
2010
15 years 1 months ago
Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios
We consider distributed estimation of a deterministic vector parameter from noisy sensor observations in a wireless sensor network (WSN). The observation noise is assumed uncorrela...
Jun Fang, Hongbin Li