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VMV
2001
125views Visualization» more  VMV 2001»
13 years 9 months ago
Motion Consistency for Image-Based Rendering
This paper presents an enhancement to current image-based rendering methods. It suggests that motion consistency can be used in a realtime dynamic rendering system to increase com...
Philippe Simard, Marcel Mitran, Frank P. Ferrie
AAAI
2011
12 years 7 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
CANDC
2000
ACM
13 years 7 months ago
Step by Step Filter Based Program for Calculations of Highly Informative Derivative Curves
We have developed a microcomputer program, based on a recently described approach called step by step filter (SBSF), for calculation of derivative curves directly from spectra rec...
Vesselin Petrov, Liudmil Antonov, Hitoshi Ehara, N...
CORR
2011
Springer
194views Education» more  CORR 2011»
12 years 11 months ago
Efficient Maximum Likelihood Estimation of a 2-D Complex Sinusoidal Based on Barycentric Interpolation
This paper presents an efficient method to compute the maximum likelihood (ML) estimation of the parameters of a complex 2-D sinusoidal, with the complexity order of the FFT. The...
J. Selva
ICPR
2010
IEEE
14 years 2 months ago
Gait Learning-Based Regenerative Model: A Level Set Approach
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...