Concept
Binary classification
Related publications (225)
New Entropy Based Combination Rules in HMM/ANN Multi-stream ASR
Hervé Bourlard, Hemant Misra, Vivek Tyagi
Classifier performance is often enhanced through combining multiple streams of information. In the context of multi-stream HMM/ANN systems in ASR, a confidence measure widely used in classifier combination is the entropy of the posteriors distribution outp ...
2003Evaluation 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 ...
idiap2001Using posterior probabilities for speech/music discrimination
Automatic speech/music discrimination has been receiving importance recently, for example when large multimedia documents have to be processed by an ASR system, or for indexing and retrieval of such documents. This work presents using outputs of a speech r ...
IDIAP2001An Improved Predictive Accuracy Bound for Averaging Classifiers
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popular averaging techniques such as Bayesian classification, Maximum Entropy dis ...
2001EEG pattern recognition through multi-stream evidence combination
EEG recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable variations in the signal due to artefacts or recogniser-subject feedback. A number of techniques were recently develope ...
IDIAP2001EEG pattern recognition through multi-stream evidence combination
EEG recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable variations in the signal due to artefacts or recogniser-subject feedback. A number of techniques were recently develope ...
2001Automatic Morphometry of Nerve Histological Sections
Olivier Cuisenaire, Benoît Macq
A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers in nerve histological sections is presented. In this method, the fiber parameters i.e. perimeter, area, position of the fiber and myelin sheath thickness are ...
2000Advanced Spatial Data Analysis and Modelling with Support Vector Machines
The research deals with the novel application of Support Vector Machines (Support Vector Classification and Support Vector Regression) for the analysis and modelling of spatial environmental data. Multiclass classification of soil types and pollution mappi ...
IDIAP2000Fusion of Face and Speech Data for Person Identity Verification
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 ...
1999Fusion of Face and Speech Data for Person Identity Verification
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 ...
IDIAP1999