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» An LFT approach to parameter estimation
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85
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ICPR
2006
IEEE
16 years 23 days ago
Euclidean Reconstruction of Deformable Structure Using a Perspective Camera with Varying Intrinsic Parameters
In this paper we present a novel approach for the 3D Euclidean reconstruction of deformable objects observed by a perspective camera with variable intrinsic parameters. We formula...
Alessio Del Bue, Lourdes de Agapito, Xavier Llad&o...
ICMCS
2007
IEEE
157views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Analysis and Synthesis of Binaural Parameters for Efficient 3D Audio Rendering in MPEG Surround
This paper describes a novel method to simulate an multichannel audio experience using stereo headphones. In contrast to conventional, convolution-based methods, the current appro...
Dirk Breebaart
101
Voted
ICPR
2008
IEEE
15 years 6 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
SIGPRO
2002
58views more  SIGPRO 2002»
14 years 11 months ago
A HMM approach to the estimation of random trajectories on manifolds
Dynamic image analysis requires the estimation of time-varying model parameters (e.g., shape coe cients). This can be11 seen as states of a dynamic model which are restricted to a...
Jorge S. Marques, João Miranda Lemos, Arnal...
124
Voted
ICIC
2007
Springer
15 years 5 months ago
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
Xia Hong, Sheng Chen, Chris Harris