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» Approximate algorithms for neural-Bayesian approaches
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3DPVT
2004
IEEE
116views Visualization» more  3DPVT 2004»
15 years 1 months ago
Real-Time, Accurate Depth of Field using Anisotropic Diffusion and Programmable Graphics Cards
Computer graphics cameras lack the finite Depth of Field (DOF) present in real world ones. This results in all objects being rendered sharp regardless of their depth, reducing the...
Marcelo Bertalmío, Pere Fort, Daniel S&aacu...
CLEAR
2006
Springer
176views Biometrics» more  CLEAR 2006»
15 years 1 months ago
Head Pose Detection Based on Fusion of Multiple Viewpoint Information
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ECCV
2006
Springer
15 years 1 months ago
Trace Quotient Problems Revisited
The formulation of trace quotient is shared by many computer vision problems; however, it was conventionally approximated by an essentially different formulation of quotient trace,...
Shuicheng Yan, Xiaoou Tang
ECML
2006
Springer
15 years 1 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 1 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon