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» On Wiedemann's Method of Solving Sparse Linear Systems
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VC
2010
122views more  VC 2010»
13 years 7 months ago
Nonhomogeneous scaling optimization for realtime image resizing
We present a novel approach for interactive content-aware image resizing. The resizing is performed on warping a triangular mesh over the image, which captures the image saliency i...
Yong Jin, Ligang Liu, Qingbiao Wu
CAE
2010
13 years 4 months ago
Realtime Aesthetic Image Retargeting
Humans have always sought to achieve aesthetics in art. In this paper, we present a novel approach for retargeting images to different aspect ratios while improving the compositio...
Ligang Liu, Yong Jin, Qingbiao Wu
PRL
2011
13 years 4 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
SIAMSC
2010
121views more  SIAMSC 2010»
13 years 7 months ago
Extrapolated Implicit-Explicit Time Stepping
This paper constructs extrapolated implicit-explicit time stepping methods that allow one to efficiently solve problems with both stiff and nonstiff components. The proposed meth...
Emil M. Constantinescu, Adrian Sandu
JAIR
2002
163views more  JAIR 2002»
13 years 8 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu