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CVPR
2009
IEEE
2653views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Expression-Insensitive 3D Face Recognition using Sparse Representation
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the applic...
Xiaoxing Li, Tao Jia, Hao Zhang 0002
ICDCSW
2006
IEEE
15 years 3 months ago
Characterization of a Connectivity Measure for Sparse Wireless Multi-hop Networks
The extent to which a wireless multi-hop network is connected is usually measured by the probability that all the nodes form a single connected component. We find this measure, c...
Srinath Perur, Sridhar Iyer
HAPTICS
2003
IEEE
15 years 3 months ago
How Well Can We Encode Spatial Layout from Sparse Kinesthetic Contact?
We investigated people’s ability to report the shape and scale of a spatial layout after sparse contact, without vision. We propose that the initial representation of sparsely c...
Roberta L. Klatzky, Susan J. Lederman
DAC
1996
ACM
15 years 2 months ago
A Sparse Image Method for BEM Capacitance Extraction
Boundary element methods (BEM) are often used for complex 3-D capacitance extraction because of their efficiency, ease of data preparation, and automatic handling of open regions. ...
Byron Krauter, Yu Xia, E. Aykut Dengi, Lawrence T....
SIAMJO
2008
108views more  SIAMJO 2008»
14 years 9 months ago
Sparse SOS Relaxations for Minimizing Functions that are Summations of Small Polynomials
This paper discusses how to find the global minimum of functions that are summations of small polynomials ("small" means involving a small number of variables). Some spa...
Jiawang Nie, James Demmel