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Publications associées (190)

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Fast Keypoint Recognition in Ten Lines of Code

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. In this paper, we show that formulating the problem in ...

IEEE Xplore2007

Lung Tissue Classification Using Wavelet Frames

Michaël Unser, Daniel Sage, Adrien Raphaël Depeursinge

We describe a texture classification system that identifies lung tissue patterns from high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD). This pattern recognition task is part of an image-based diag ...

IEEE2007

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 ...

2007

SVM-based Transfer of Visual Knowledge Across Robotic Platforms

Barbara Caputo, Jie Luo

This paper presents an SVM-based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new infor ...

2007

A Max Kernel For Text-Independent Speaker Verification Systems

Samy Bengio

In this paper, we present a principled SVM based speaker verification system. A general approach to compute two sequences of frames is developed that enables the use of any kernel at the frame level. An extension of this approach using the Max operator is ...

2006

Application Dependent Video Segmentation Evaluation - A Case Study for Video Surveillance

Touradj Ebrahimi, Elisa Drelie Gelasca

Evaluation of the performance of video segmentation algorithms is important in both theoretical and practical considerations. This paper addresses the problem of video segmentation assessment, through both subjective and objective approaches, for the speci ...

2006

Melanoma Recognition Using Representative and Discriminative Kernel Classifiers

Barbara Caputo, Tatiana Tommasi

Malignant melanoma is the most deadly for of skin lesion. Early diagnosis is of critical importance to patient survival. Visual recognition algorithms could potentially be of great help for physicians in a computer assisted diagnosis system. Previous work ...

2006

Melanoma Recognition using Kernel Classifiers

Barbara Caputo, Tatiana Tommasi

Melanoma is the most deadly skin cancer. Early diagnosis is a current challenge for clinicians. Current algorithms for skin lesions classification focus mostly on segmentation and feature extraction. This paper instead puts the emphasis on the learning pro ...

IDIAP2006

Kernel Methods for Melanoma Recognition

Barbara Caputo, Tatiana Tommasi

2006

Bioimaging and Functional Genomics

Giovanni De Micheli, Luca Benini

For better understanding of genetic mechanisms underlying clinical observations, it is interesting to determine which genes and clinical traits are interrelated. In the last few years a consistent amount of research in genomics has been done concerning cor ...

2006