Concept

Feature (machine learning)

Publications associées (343)

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Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis

Philip Neil Garner, John David Scott Dines, Lakshmi Babu Saheer

Vocal tract length normalization (VTLN) has been successfully used in automatic speech recognition for improved performance. The same technique can be implemented in statistical parametric speech synthesis for rapid speaker adaptation during synthesis. Thi ...

2012

Fast human detection from joint appearance and foreground feature subset covariances

Jean-Marc Odobez

We present a fast method to detect humans from stationary surveillance videos. It is based on a cascade of LogitBoost classifiers which use covariance matrices as object descriptors. We have made several contributions. First, our method learns the correlat ...

2011

Social Network Analysis for Automatic Role Recognition

Sarah Favre

The computing community has shown a significant interest for the analysis of social interactions in the last decade. Different aspects of social interactions have been studied such as dominance, emotions, conflicts, etc. However, the recognition of roles h ...

EPFL2011

A comparison of different automated methods for the detection of white matter lesions in MRI data

Ahmed Abdulkadir

White matter hyperintensities (WMH) are the focus of intensive research and have been linked to cognitive impairment and depression in the elderly. Cumbersome manual outlining procedures make research on WMH labour intensive and prone to subjective bias. T ...

Elsevier2011

Learning from Images with Captions Using the Maximum Margin Set Algorithm

Barbara Caputo, Jie Luo, Vittorio Ferrari

A large amount of images with accompanying text captions are available on the Internet. These are valuable for training visual classifiers without any explicit manual intervention. In this paper, we present a general framework to address this problem. Unde ...

Idiap2011

Learning from Candidate Labeling Sets

Jie Luo

In many real world applications we do not have access to fully-labeled training data, but only to a list of possible labels. This is the case, e.g., when learning visual classifiers from images downloaded from the web, using just their text captions or tag ...

Idiap2011

Face Detection using Ferns

Sébastien Marcel, Venkatesh Bala Subburaman

This paper discusses the use of ferns (a set of binary features) for face detection. The binary feature used here is the sign of pixel intensity difference. Ferns were first introduced for keypoint recognition and showed good performance, and improving the ...

Idiap2011

Palm Vein Recognition with Local Binary Patterns and Local Derivative Patterns

Leila Mirmohamadsadeghi, Andrzej Drygajlo

Palm vein feature extraction from near infrared images is a challenging problem in hand pattern recognition. In this paper, a promising new approach based on local texture patterns is proposed. First, operators and histograms of multi-scale Local Binary Pa ...

2011

Boosting Localized Features for Speaker and Speech Recognition

Anindya Roy

In this thesis, we propose a novel approach for speaker and speech recognition involving localized, binary, data-driven features. The proposed approach is largely inspired by similar localized approaches in the computer vision domain. The success of these ...

EPFL2011

Boosting Localized Features for Speaker and Speech Recognition

Anindya Roy

Ecole Polytechnique Federale de Lausanne (EPFL)2011