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» Computing the Dimension of Linear Subspaces
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DAC
2009
ACM
14 years 4 months ago
ARMS - automatic residue-minimization based sampling for multi-point modeling techniques
This paper describes an automatic methodology for optimizing sample point selection for using in the framework of model order reduction (MOR). The procedure, based on the maximiza...
Jorge Fernandez Villena, Luis Miguel Silveira
CVPR
2007
IEEE
14 years 12 months ago
A Human Action Recognition System for Embedded Computer Vision Application
In this paper, we propose a human action recognition system suitable for embedded computer vision applications in security systems, human-computer interaction and intelligent envi...
Hongying Meng, Nick Pears, Chris Bailey
FPL
2006
Springer
125views Hardware» more  FPL 2006»
14 years 1 months ago
Application-Specific Memory Interleaving for FPGA-Based Grid Computations: A General Design Technique
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
Tom Van Court, Martin C. Herbordt
FOCS
2002
IEEE
14 years 2 months ago
Low-Dimensional Linear Programming with Violations
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and subsequently any constant number of dimensions) can be solved in linear time. In ...
Timothy M. Chan
VLSISP
2010
254views more  VLSISP 2010»
13 years 8 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...