-
Automatic emotions recognition during call center conversations
Automatic emotion recognition in speech is a relatively recent research subject in the field of natural language processing considering that the subject has been... -
Indoor location estimation using a wearable camera with application to the mo...
Visual lifelog indexing by content has emerged as a high reward application. Enabled by the recent availability of miniaturized recording devices, the demand for... -
Study of kernel machines towards Brain-computer Interfaces
Brain-computer Interface (BCI) has achieved numerous successful applications in both clinical domain and daily life amelioration. As an essential component, signal... -
Supervised and semi-supervised infant-directed speech classification for pare...
International audience -
An interactive machine for algae image retrieval
International audience -
A new theoretical angle to semi-supervised output kernel regression for prote...
International audience -
NLP lexicons: innovative constructions and usages for machines and humans
International audience -
Regularized output kernel regression for protein-protein interaction predicti...
International audience -
Protein-protein interaction network inference using statistical learning
The aim of this thesis is to develop tools for predicting interactions between proteins that can be applied to the human proteins forming a network with the CFTR... -
A Stream-Based Semi-Supervised Active Learning Approach for Document Classifi...
International audience -
Machine learning applied to speech language understanding : towards semi-supe...
Two wide research fields named Speech Recognition and Machine Learning meet with the Automatic Speech Language Understanding. One of the main problems in this domain... -
Task-Driven Dictionary Learning
final draft post-refereeing -
Efficient large-context dependency parsing and correction with distributional...
This thesis explores ways to improve the accuracy and coverage of efficient statistical dependency parsing. We employ transition-based parsing with models learned... -
Contextualization of a pedestrian detector : application to the monitoring of...
With the rise of videosurveillance systems comes a logical need for automatic and real-time processes to analyze the huge amount of generated data. Among these tools,... -
GT2FC : An online Growing interval Type-2 self-learning Fuzzy Classifier
International audience -
Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and S...
International audience -
Graph-based semi-supervised learning methods and quick detection of central n...
Semi-supervised learning methods constitute a category of machine learning methods which use labelled points together with unlabeled data to tune the classifier. The...
