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Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images

Publications associées (224)

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Discriminative Kernel-Based Phoneme Sequence Recognition

Samy Bengio

We describe a new method for phoneme sequence recognition given a speech utterance. In contrast to HMM-based approaches, our method uses a kernel-based discriminative training procedure in which the learning process is tailored to the goal of minimizing th ...

IDIAP2006

Discriminative Kernel-Based Phoneme Sequence Recognition

Samy Bengio

We describe a new method for phoneme sequence recognition given a speech utterance, which is not based on the HMM. In contrast to HMM-based approaches, our method uses a discriminative kernel-based training procedure in which the learning process is tailor ...

2006

Learning Multi-Modal Dictionaries: Application to Audiovisual Data

Pierre Vandergheynst, Rémi Gribonval, Gianluca Monaci, Philippe Jost

This paper presents a methodology for extracting meaningful synchronous structures from multi-modal signals. Simultaneous processing of multi-modal data can reveal information that is unavailable when handling the sources separately. However, in natural hi ...

2006

Collaborative Web-based Experimentation in Flexible Engineering Education

Denis Gillet, Anh Vu Nguyen Ngoc

The Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, is deploying a flexible learning scheme for selected pilot courses in engineering education. In such a scheme, traditional lectures and written exercises are combined with addition ...

2005

Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition

Aude Billard, Micha Hersch, André Maurer

In this paper, we extend the Hopfield Associative Memory for storing multiple sequences of varying duration. We apply the model for learning, recognizing and encoding a set of human gestures. We measure systematically the performance of the model against n ...

2005

Impact of Topology Changes in Video Segmentation Evaluation

Touradj Ebrahimi, Elisa Drelie Gelasca

This work addresses the problem of studying and characterizing topology changes between resulting and reference segmentation masks in video sequences. In particular, the goal of this paper is to examine the impact of individual and combined artifacts found ...

IEEE2004

Fast Sparse Gaussian Process Methods: The Informative Vector Machine

Matthias Seeger

We present a framework for sparse Gaussian process (GP) methods which uses forward selection with criteria based on information-theoretic principles, previously suggested for active learning. Our goal is not only to learn d-sparse predictors (which can be ...

2003

A recurrent model for perceptual learning

Michael Herzog

Perceptual learning has received enhanced interest during the last years both from theoreticians and experimentalists. Recent experimental results reveal that mechanisms underlying perceptual learning are more complex than previously expected, thereby ruli ...

Optical Society of America1999

Learning and Evolution

Dario Floreano

In the last few years several researchers have resorted to artificial evolution (e.g. genetic algorithms) and learning techniques (e.g. neural networks) for studying the interaction between learning and evolution. These studies have been conducted for two ...

1999

Kohonen Self-Organizing Map with quantized weights

Patrick Thiran

Preface Analyzing and representing multidimensional quantitative and qualitative data: Demographic study of the Rhône valley. The domestic consumption of the Canadian families Value Maps: Finding Value in Markets that are Expensive Data Mining and Knowl ...

Elsevier1999