Person

Samy Bengio

Related publications (203)

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Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection

Samy Bengio, David Grangier

This paper proposes a discriminative approach to template-based keyword detection. We introduce a method to learn the distance used to compare acoustic frames, a crucial element for template matching approaches. The proposed algorithm estimates the distanc ...

2007

Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection

Samy Bengio, David Grangier

IDIAP2007

This paper proposes a new approach for keyword spotting, which is not based on HMMs. The proposed method employs a new discriminative learning procedure, in which the learning phase aims at maximizing the area under the ROC curve, as this quantity is the m ...

2007

Performance Generalization in Biometric Authentication Using Joint User-Specific and Sample Bootstraps

Samy Bengio, Norman Hoon Thian Poh

Biometric authentication performance is often depicted by a DET curve. We show that this curve is dependent on the choice of samples available, the demographic composition and the number of users specific to a database. We propose a two-step bootstrap proc ...

2007

Biometric Person Authentication IS A Multiple Classifier Problem

Samy Bengio

Several papers have already shown the interest of using multiple classifiers in order to enhance the performance of biometric person authentication systems. In this paper, we would like to argue that the core task of Biometric Person Authentication is actu ...

2007

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

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Samy Bengio

We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biologically observed. The model is further driven by a supervised learning algo ...

2007

Biometric Person Authentication IS A Multiple Classifier Problem

Samy Bengio

IDIAP2007

Learning to Retrieve Images from Text Queries with a Discriminative Model

Samy Bengio, David Grangier, Florent Monay Michaud

This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval performance of the model. For that purpose, we rely on a ranking loss which ha ...

2006

The purpose of Face localization is to determine the coordinates of a face in a given image. It is a fundamental research area in computer vision because it serves, as a necessary first step, any face processing systems, such as automatic face recognition, ...

2006