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Multiresolution Moment Filters: Theory and Applications

Publications associées (37)

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Feature Extraction for Multi-Class BCI using Canonical Variates Analysis

José del Rocio Millán Ruiz, Pierre Ferrez

Objective: To propose a new feature extraction method with canonical solution for multi-class Brain-Computer Interfaces (BCI). The proposed method should provide a reduced number of canonical discriminant spatial patterns (CDSP) and rank the channels sorte ...

2007

Feature Extraction for Multi-class BCI using Canonical Variates Analysis

José del Rocio Millán Ruiz, Pierre Ferrez

\emph{Objective}: To propose a new feature extraction method with canonical solution for multi-class Brain-Computer Interfaces (BCI). The proposed method should provide a reduced number of canonical discriminant spatial patterns (CDSP) and rank the channel ...

IDIAP2007

Minimizing Generalized Buchi Automata

Sudeep Juvekar

We consider the problem of minimization of generalized Buchi automata. We show how to extend fair simulation and delayed simulation to the case where the Buchi automaton has multiple acceptance conditions. For fair simulation, we show how to efficiently co ...

2005

Feature point extraction using scale-space representation

Touradj Ebrahimi, Yousri Abdeljaoued

An algorithm for feature point extraction is presented. It is based on a scale-space representation of the image as well as a system for tracking across scales. Using synthetic and real images, it is shown that the proposed algorithm produces stable and we ...

2004

Kernel-based classifiers with applications to face detection

Vlad Popovici

Statistical pattern recognition occupies a central place in the general context of machine learning techniques, as it provides the theoretical insights and the practical means for solving a variety of problems ranging from character recognition to face rec ...

EPFL2004

Nonlinear feature transformations for noise robust speech recognition

Shajith Ikbal

Robustness against external noise is an important requirement for automatic speech recognition (ASR) systems, when it comes to deploying them for practical applications. This thesis proposes and evaluates new feature-based approaches for improving the ASR ...

EPFL2004

Splines and Wavelets: New Perspectives for Pattern Recognition

Michaël Unser

We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we argue that the spline representation is ideally suited for all processing task ...

DAGM e. V2003

New support vector algorithms for multicategorical data applied to real-time object recognition

Silvio Borer

Humans have the ability to learn. Having seen an object we can recognise it later. We can do this because our nervous system uses an efficient and robust visual processing and capabilities to learn from sensory input. On the other hand, designing algorithm ...

EPFL2003

Parametric shape processing in biomedical imaging

Mathews Jacob

In this thesis, we present a coherent and consistent approach for the estimation of shape and shape attributes from noisy images. As compared to the traditional sequential approach, our scheme is centered on a shape model which drives the feature extractio ...

EPFL2003

Multiresolution Moment Filters

Michaël Unser, Michael Sühling, Muthuvel Arigovindan

We define multi-scale moments that are estimated locally by analyzing the image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relation, we prove that these moments can be computed very efficiently using a multi ...

IEEE2002