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ICIP
2007
IEEE
15 years 16 days ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
IJCV
2010
249views more  IJCV 2010»
13 years 9 months ago
A Computational Model of Multidimensional Shape
We develop a computational model of shape that extends existing Riemannian models of shape of curves to multidimensional objects of general topological type. We construct shape sp...
Xiuwen Liu, Yonggang Shi, Ivo D. Dinov, Washington...
WADS
2007
Springer
104views Algorithms» more  WADS 2007»
14 years 5 months ago
Faster Approximation of Distances in Graphs
Let G = (V, E) be an weighted undirected graph on n vertices and m edges, and let dG be its shortest path metric. We present two simple deterministic algorithms for approximating ...
Piotr Berman, Shiva Prasad Kasiviswanathan
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently published gene expression data of S. cerevisiae grown w...
Rogier J. P. van Berlo, Lodewyk F. A. Wessels, S. ...
FPT
2005
IEEE
117views Hardware» more  FPT 2005»
14 years 4 months ago
FPGA Defect Tolerance: Impact of Granularity
As device sizes shrink, FPGAs are increasingly prone to manufacturing defects. The ability to tolerate multiple defects is anticipated to be very important at 45nm and beyond. One...
Anthony J. Yu, Guy G. Lemieux