Publication

Semi-supervised Meeting Event Recognition with Adapted HMMs

Publications associées (40)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Bootstrapping Uncertainty in Schema Covering

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

Schema covering is the process of representing large and complex schemas by easily comprehensible common objects. This task is done by identifying a set of common concepts from a repository called concept repository and generating a cover to describe the s ...

2018

Bootstrapping Uncertainty in Schema Covering

Thành Tâm Nguyên, Chi Thang Duong

SPRINGER INTERNATIONAL PUBLISHING AG2018

Applications of Approximate Learning and Inference for Probabilistic Models

Young Jun Ko

We develop approximate inference and learning methods for facilitating the use of probabilistic modeling techniques motivated by applications in two different areas. First, we consider the ill-posed inverse problem of recovering an image from an underdeter ...

EPFL2017

Design considerations for implantable and wearable antennas

Anja Skrivervik

This contribution gives a review of our results characterizing the propagation in lossy biological tissues. These results were mainly obtained using a simplified spherical model allowing a description in spherical wave decomposition. This model is of cours ...

IEEE2017

Probabilistic Schema Covering

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

2017

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Hervé Bourlard, Guillermo Aradilla

Posterior probabilities of sub-word units have been shown to be an effective front-end for ASR. However, attempts to model this type of features either do not benefit from modeling context-dependent phonemes, or use an inefficient distribution to estimate ...

IDIAP2008

Detecting queues at vending machines: a statistical layered approach

Jean-Marc Odobez

In this report, a method for monitoring activity at a ticket machine is presented. While this work has been done in the specific context of Turin metro, the proposed model could be applied to other locations and tasks in video-surveillance. Monitoring the ...

IDIAP2008

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Hynek Hermansky, Joel Praveen Pinto

We propose a technique for generating alternative models for keywords in a hybrid hidden Markov model - artificial neural network (HMM-ANN) keyword spotting paradigm. Given a base pronunciation for a keyword from the lookup dictionary, our algorithm genera ...

2007

Exploiting Phoneme Similarities in Hybrid HMM-ANN Keyword Spotting

Hynek Hermansky, Joel Praveen Pinto

IDIAP2007

Semi-supervised Meeting Event Recognition with Adapted HMMs

Daniel Gatica-Perez, Samy Bengio, Dong Zhang

This paper investigates the use of unlabeled data to help labeled data for audio-visual event recognition in meetings. To deal with situations in which it is difficult to collect enough labeled data to capture event characteristics, but collecting a large ...

2005