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Automatic Recognition of Facial Actions in Spontaneous Expressions
TLDR
We present preliminary results on a task of facial action detection in spontaneous facial expressions with support vector machines and AdaBoost, to texture-based image representations. Expand
Recognizing facial expression: machine learning and application to spontaneous behavior
TLDR
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector machines, linear discriminant analysis. Expand
Fully Automatic Facial Action Recognition in Spontaneous Behavior
TLDR
We present results on a user independent fully automatic system for real time recognition of facial actions from the facial action coding system (FACS). Expand
Machine learning methods for fully automatic recognition of facial expressions and facial actions
TLDR
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector machines, linear discriminant analysis, as well as feature selection techniques. Expand
Ansatz library for global modeling with a structure selection.
The information contained in a scalar time series and its time derivatives is used to obtain a global model for the underlying dynamics. This model provides a description of the time evolution of theExpand
Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals
The pathophysiology of Parkinson’s disease (PD) is known to involve altered patterns of neuronal firing and synchronization in cortical-basal ganglia circuits. One window into the nature of theExpand
A nine-dimensional Lorenz system to study high-dimensional chaos
We examine the dynamics of three-dimensional cells with square planform in dissipative Rayleigh-Benard convection. By applying a triple Fourier series ansatz up to second order, we obtain a system ofExpand
Automatic Sleep Scoring from a Single Electrode Using Delay Differential Equations
TLDR
A technique for automatic sleep scoring from the signal of a single EEG electrode located in the C3/A2 area using nonlinear delay differential equations. Expand
Global modeling of the Rössler system from the /z-variable
Obtaining a global model from the z-variable of the Rossler system is considered to be difficult because of its spiky structure. In this Letter, a 3D global model from the z-variable is derived in aExpand
Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations.
Parkinson's disease is a degenerative condition whose severity is assessed by clinical observations of motor behaviors. These are performed by a neurological specialist through subjective ratings ofExpand
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