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ICML
2007
IEEE
16 years 7 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 6 months ago
Privacy preserving regression modelling via distributed computation
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...
ICCAD
2003
IEEE
127views Hardware» more  ICCAD 2003»
16 years 3 months ago
A Probabilistic-Based Design Methodology for Nanoscale Computation
As current silicon-based techniques fast approach their practical limits, the investigation of nanoscale electronics, devices and system architectures becomes a central research p...
R. Iris Bahar, Joseph L. Mundy, Jie Chen
CHI
2010
ACM
16 years 1 months ago
Postcolonial computing: a lens on design and development
As our technologies travel to new cultural contexts and our designs and methods engage new constituencies, both our design and analytical practices face significant challenges. We...
Lilly Irani, Janet Vertesi, Paul Dourish, Kavita P...
CP
2005
Springer
15 years 11 months ago
CP(Graph): Introducing a Graph Computation Domain in Constraint Programming
Abstract. In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We propose a novel way to solve these problems, mainly those that can be tr...
Grégoire Dooms, Yves Deville, Pierre Dupont