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» The Accelerated Euclidean Algorithm
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MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 3 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
ICCAD
1999
IEEE
86views Hardware» more  ICCAD 1999»
15 years 2 months ago
Clock skew scheduling for improved reliability via quadratic programming
This paper considers the problem of determining an optimal clock skew schedule for a synchronous VLSI circuit. A novel formulation of clock skew scheduling as a constrained quadrat...
Ivan S. Kourtev, Eby G. Friedman
DMSN
2007
ACM
15 years 1 months ago
SenseSwarm: a perimeter-based data acquisition framework for mobile sensor networks
This paper assumes a set of n mobile sensors that move in the Euclidean plane as a swarm1 . Our objectives are to explore a given geographic region by detecting and aggregating sp...
Demetrios Zeinalipour-Yazti, Panayiotis Andreou, P...
ETVC
2008
14 years 11 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
14 years 10 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang