Sciweavers

Share
PAMI
2006
206views more  PAMI 2006»
8 years 6 months ago
Fast Active Appearance Model Search Using Canonical Correlation Analysis
A fast AAM search algorithm based on canonical correlation analysis (CCA-AAM) is introduced. It efficiently models the dependency between texture residuals and model parameters dur...
Rene Donner, Michael Reiter, Georg Langs, Philipp ...
PAMI
2008
135views more  PAMI 2008»
8 years 6 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
CSDA
2006
145views more  CSDA 2006»
8 years 6 months ago
An improved method for generalized constrained canonical correlation analysis
An improved method for generalized constrained canonical correlation analysis (GCCANO) is proposed. In the original GCCANO, data matrices were first decomposed into the sum of sev...
Yoshio Takane, Haruo Yanai, Heungsun Hwang
NIPS
2007
8 years 7 months ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge
ICPR
2010
IEEE
8 years 8 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
DIAGRAMS
2006
Springer
8 years 10 months ago
Canonical Correlation Analysis: Use of Composite Heliographs for Representing Multiple Patterns
In a study of crew interaction with the automatic flight control system of the Boeing 757/767 aircraft, we observed 60 flights and recorded every change in the aircraft control mo...
Asaf Degani, Michael G. Shafto, Leonard Olson
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
9 years 12 days ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
ISBI
2008
IEEE
9 years 20 days ago
Examining associations between FMRI and EEG data using canonical correlation analysis
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine asso...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
ICASSP
2008
IEEE
9 years 22 days ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
ICASSP
2009
IEEE
9 years 1 months ago
Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
books