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» A Computational Journey into Nonlinearity
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IJCV
2000
133views more  IJCV 2000»
15 years 6 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
ICRA
2006
IEEE
141views Robotics» more  ICRA 2006»
16 years 15 days ago
Computing 3-legged Equilibrium Stances in Three-dimensional Gravitational Environments
— Quasistatic multi-legged locomotion consists of a sequence of equilibrium postures where the mechanism supports itself against gravity while moving free limbs to new positions....
Yizhar Or, Elon Rimon
AAAI
2010
15 years 8 months ago
Conformal Mapping by Computationally Efficient Methods
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
Stefan Pintilie, Ali Ghodsi
CPHYSICS
2007
126views more  CPHYSICS 2007»
15 years 6 months ago
Adaptive continuation algorithms for computing energy levels of rotating Bose-Einstein condensates
We describe adaptive continuation algorithms for computing energy levels of the Bose–Einstein condensates (BEC) with emphasis on the rotating BEC. We show that the rotating BEC ...
S.-L. Chang, C.-S. Chien
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 6 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad