Concept

Computer-aided diagnosis

Related publications (190)

Kernel Methods for Melanoma Recognition

Skin cancer is a spreading disease in the western world. Early detection and treatment are crucial for improving the patient survival rate. In this paper we present two algorithms for computer assisted diagnosis of melanomas. The first is the support vecto ...

2006

Mutual information eigenlips for audio-visual speech recognition

Jean-Philippe Thiran, Ivana Arsic de Heras Ciechomska

This paper proposes an application of information theoretic approach for finding the most informative subset of eigenfeatures to be used for audio-visual speech recognition tasks. The state-of-the-art visual feature extraction methods in the area of speech ...

IEEE2006

Anisotropic Gaussian Filters for Face Class Modeling

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

In this paper we propose a new approach to automatic human face detection which employs anisotropic Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperfor ...

IEEE2006

Soft-output sphere decoding: Performanceand implementation aspects

Andreas Peter Burg, Christoph Studer

Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a subsequent channel decoder pose significant implementation challenges due to their high computational complexity. In this paper, we show how sphere decoding can be ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2006

Local Binary Patterns as an Image Preprocessing for Face Authentication

Sébastien Marcel, Guillaume Heusch, Yann Rodriguez

One of the major problem in face authentication systems is to deal with variations in illumination. In a \mbox{realistic} scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence t ...

2006

Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation

Karl Aberer, Sarunas Girdzijauskas, Mirko Steinle

Problem diagnosis for distributed systems is usually difficult. Thus, an automated support is needed to identify root causes of encountered problems such as performance lags or inadequate functioning quickly. The many tools and techniques existing today th ...

2006

Information Theoretic Combination of Classifiers With Application to Multiple SVMs

Jean-Philippe Thiran, Julien Meynet

Combining several classifiers has proved to be an efficient machine learning technique. Two concepts influence clearly the efficiency of an ensemble: the diversity between classifiers and the individual accuracies of the classifiers. We use an information ...

2006

A Kernel Trick For Sequences Applied to Text-Independent Speaker Verification Systems

Samy Bengio

This paper present a principled SVM based speaker verification system. We propose a new framework and a new sequence kernel that can make use of any Mercer kernel at the frame level. An extension of the sequence kernel based on the Max operator is also pro ...

IDIAP2005

Semi-supervised Adapted HMMs for Unusual Event Detection

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the application of traditional supervised model-based approaches. We propose a semi-supe ...

2005

Local Binary Patterns as an Image Preprocessing for Face Authentication

Sébastien Marcel, Guillaume Heusch, Yann Rodriguez

IDIAP2005

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