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DCC
2008
IEEE
14 years 7 months ago
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
James E. Fowler
ICDE
2012
IEEE
240views Database» more  ICDE 2012»
11 years 10 months ago
Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme
—Shortest distance query between two nodes is a fundamental operation in large-scale networks. Most existing methods in the literature take a landmark embedding approach, which s...
Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu
SIAMIS
2011
13 years 2 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
ICASSP
2011
IEEE
12 years 11 months ago
Analysis of unknown velocity and target off the grid problems in compressive sensing based subsurface imaging
Sparsity of target space in subsurface imaging problem is used within the framework of the compressive sensing (CS) theory in recent publications to decrease the data acquisition ...
Mehmet Ali Çagri Tuncer, Ali Cafer Gurbuz
DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
14 years 2 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...