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» Reconstructing Algebraic Functions from Mixed Data
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NIPS
2007
13 years 9 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
CORR
2011
Springer
160views Education» more  CORR 2011»
12 years 11 months ago
PHCpack in Macaulay2
The Macaulay2 package PHCpack.m2 provides an interface to some of the functionality of PHCpack, a general-purpose solver for polynomial systems by homotopy continuation. The main f...
Elizabeth Gross, Sonja Petrovic, Jan Verschelde
ADCM
2006
74views more  ADCM 2006»
13 years 7 months ago
Linearly constrained reconstruction of functions by kernels with applications to machine learning
This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
Robert Schaback, J. Werner
DAGM
2005
Springer
14 years 1 months ago
3D Surface Reconstruction by Combination of Photopolarimetry and Depth from Defocus
Abstract. In this paper we present a novel image-based 3D surface reconstruction technique that incorporates reflectance, polarisation, and defocus information into a variational ...
Pablo d'Angelo, Christian Wöhler
ICASSP
2011
IEEE
12 years 11 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien