Concept

Classification double

Publications associées (85)

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Discovering Human Places of Interest from Multimodal Mobile Phone Data

Daniel Gatica-Perez

In this paper, a new framework to discover places-of-interest from multimodal mobile phone data is presented. Mobile phones have been used as sensors to obtain location information from usersâ€™ real lives. Two levels of clustering are used to obtain place ...

2010

SOM-based Clustering of Multilingual Documents Using an Ontology

Minh Hai Pham

Clustering similar documents is a difficult task for text data mining. Difficulties stem especially from the way documents are translated into numerical vectors. In this chapter, we will present a method that uses Self Organizing Map (SOM) to cluster medic ...

Information Science Reference2008

Joint co-clustering: Co-clustering of genomic and clinical bioimaging data

Giovanni De Micheli, Luca Benini

For better understanding the genetic mechanisms underlying clinical observations, and better defining a group of potential candidates for protein-family-inhibiting therapy, it is interesting to determine the correlations between genomic, clinical data and ...

Elsevier2008

Mobile museum guide based on fast SIFT recognition

Effrosyni Kokiopoulou, Boris Ruf

This article explores the feasibility of a market-ready, mo- bile pattern recognition system based on the latest findings in the field of object recognition and currently available hardware and network technology. More precisely, an innovative, mobile muse ...

Springer2008

Spatio-temporal analysis of spontaneous speech with microphone arrays

Guillaume Lathoud

Accurate detection, localization and tracking of multiple moving speakers permits a wide spectrum of applications. Techniques are required that are versatile, robust to environmental variations, and not constraining for non-technical end-users. Based on di ...

EPFL2007

Co-clustering : A versatile Tool for Data Analysis in Biomedical Informatics

Giovanni De Micheli, Luca Benini

Co-clustering has not been much exploited in biomedical in- formatics, despite its success in other domains. Most of the previous applications were limited to analyzing gene expression data. We performed co-clustering analysis on other types of data and ob ...

Institute of Electrical and Electronics Engineers2007

Short-Term Spatio-Temporal Clustering Applied to Multiple Moving Speakers

Jean-Marc Odobez, Guillaume Lathoud

Distant microphones permit to process spontaneous multi-party speech with very little constraints on speakers, as opposed to close-talking microphones. Minimizing the constraints on speakers permits a large diversity of applications, including meeting summ ...

2007

Likelihood estimation of the extremal index

Mária Süveges

The extension of the likelihood method of Süveges (Extremes, 2007) is presented. The extension allows for finding independent clusters of extreme events and determining the range of dependence on extremal levels, and estimate clustering characteristic of t ...

2007

Uncovering the topology of configuration space networks

Paolo De Los Rios, David Gfeller, David Sébastien Morton de Lachapelle

The configuration space network (CSN) of a dynamical system is an effective approach to represent the ensemble of configurations sampled during a simulation and their dynamic connectivity. To elucidate the connection between the CSN topology and the underl ...

2007

Blind audiovisual source separation using sparse representations

Pierre Vandergheynst, Gianluca Monaci, Anna Llagostera Casanovas

In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherence between a video Signal and a one-microphone audio track. The efficient repr ...

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