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» On the Structure of Low Sets
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HPCA
1996
IEEE
13 years 12 months ago
Co-Scheduling Hardware and Software Pipelines
Exploiting instruction-level parallelism (ILP) is extremely important for achieving high performance in application specific instruction set processors (ASIPs) and embedded process...
Ramaswamy Govindarajan, Erik R. Altman, Guang R. G...
ICVGIP
2004
13 years 9 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri
CVPR
2004
IEEE
14 years 9 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
NA
2008
80views more  NA 2008»
13 years 7 months ago
Efficient eigenvalue computation for quasiseparable Hermitian matrices under low rank perturbations
In this paper we address the problem of efficiently computing all the eigenvalues of a large N
Yuli Eidelman, Luca Gemignani, Israel Gohberg
APPML
2002
58views more  APPML 2002»
13 years 7 months ago
Layered clusters of tightness set functions
A method for structural clustering is proposed involving data on subset-to-entity linkages that can be calculated with structural data such as graphs or sequences or images. The m...
Boris Mirkin, Ilya B. Muchnik