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INFOCOM
2012
IEEE
13 years 4 months ago
Sparse recovery with graph constraints: Fundamental limits and measurement construction
—This paper addresses the problem of sparse recovery with graph constraints in the sense that we can take additive measurements over nodes only if they induce a connected subgrap...
Meng Wang, Weiyu Xu, Enrique Mallada, Ao Tang
SC
1991
ACM
15 years 5 months ago
A method of vector processing for shared symbolic data
Kanada, Y., A method of vector processing for shared symbolic data, Parallel Computing, X (1993) XXX-XXX. Conventional processing techniques for pipelined vector processors such a...
Yasusi Kanada
INFORMATICALT
2007
111views more  INFORMATICALT 2007»
15 years 1 months ago
Oblique Support Vector Machines
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
Chih-Chia Yao, Pao-Ta Yu
ICIP
2005
IEEE
16 years 3 months ago
Motion vector prediction in multiview video coding
In video coding, motion vectors always account for a large number of bits and affect coding efficiency largely. In this paper, we propose an efficient motion vector prediction algo...
Xun Guo, Wen Gao, Debin Zhao
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
15 years 7 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...