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» MAP: A Computational Model for Adaptive Persuasion
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RT
2004
Springer
14 years 2 months ago
Programmable Style for NPR Line Drawing
This paper introduces a programmable approach to non-photorealistic line drawing from 3D models, inspired by programmable shaders in traditional rendering. We propose a new image ...
Stéphane Grabli, Emmanuel Turquin, Fr&eacut...
PDPTA
2007
13 years 10 months ago
Multiple Networks for Heterogeneous Distributed Applications
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Sylvain Jubertie, Emmanuel Melin
ICASSP
2011
IEEE
13 years 15 days ago
Robust talking face video verification using joint factor analysis and sparse representation on GMM mean shifted supervectors
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
Ming Li, Shrikanth Narayanan
IJCNN
2007
IEEE
14 years 3 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
MICCAI
2009
Springer
14 years 10 months ago
3D Medical Image Segmentation by Multiple-Surface Active Volume Models
In this paper, we propose Multiple-Surface Active Volume Models (MSAVM) to extract 3D objects from volumetric medical images. Being able to incorporate spatial constraints among mu...
Tian Shen, Xiaolei Huang