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Rgtsp: a generalized top scoring pairs package for class prediction

Publications associées (32)

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Detecting Intentional Mental Transitions in an Asynchronous BCI

José del Rocio Millán Ruiz, Pierre Ferrez

The inclusion of mental tasks transitions detection (MTTD) has proven a useful tool in guiding the transduction process of a BCI working under an asynchronous protocol. MTTD allows for the extraction of the signal's contextual information in order to infer ...

IDIAP2006

Boosting HMMs with an application to speech recognition

Samy Bengio, Christos Dimitrakakis

Boosting is a general method for training an ensemble of classifiers with a view to improving performance relative to that of a single classifier. While the original AdaBoost algorithm has been defined for classification tasks, the current work examines it ...

2004

Boosting HMMs with an application to speech recognition

Samy Bengio, Christos Dimitrakakis

2004

Boosting HMMs with an application to speech recognition

Samy Bengio, Christos Dimitrakakis

IDIAP2003

Evaluation of SVM Binary Classification with Nonparametric Stochastic Simulations

The quality of Support Vector Machines binary classification of spatial environmental data is evaluated with geostatistical nonparametrtic conditional stochastic simulations. Equally probable realizations are generated and compared with SVM. Case study is ...

idiap2001

Fusion of Face and Speech Data for Person Identity Verification

Yousri Abdeljaoued

Multi-modal person identity authentication is gaining more and more attention in the biometrics area. Combining different modalities increases the performance and robustness of identity authentication systems. The authentication problem is a binary classif ...

1999

Fusion of Face and Speech Data for Person Identity Verification

Yousri Abdeljaoued

IDIAP1999

Improved Pairwise Coupling Classification With Correcting Classifiers

The benefits obtained from the decomposition of a classification task involving several classes, into a set of smaller classification problems involving two classes only, usually called dichotomies, have been exposed in various occasions. Among the multipl ...

Springer1998

Decision fusion using a multi-linear classifier

The contribution of this paper is twofold: (1) to formulate a fusion problem encountered in the design of a multi-modal identity verification system as a particular classification problem, (2) to propose a simple classifier to solve this problem. The multi ...

1998

Text dependent speaker verification using binary classifiers

Dominique Genoud

This paper describes how a speaker verification task can be advantageously decomposed into a series of binary classification problems, i.e. each problem discriminating between two classes only. Each binary classifier is specific to one speaker, one anti-sp ...

IEEE1998