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Topic modelling

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Sequential Topic Models for Mining Recurrent Activities and their Relationships : Application to long term video recordings

In this thesis, we address the analysis of activities from long term data logs with an emphasis on video recordings. Starting from simple words from video, we progressively build methods to infer higher level scene semantics. The main strategies used to ac ...

EPFL2012

Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This article reviews recent progress in the ...

Institute of Mathematical Statistics2012

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Karl Aberer, Alexey Boyarsky, Oleg Ruchayskiy, Philippe Cudré-Mauroux, Roman Prokofyev

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

Springer2012

A Probabilistic Approach to Socio-Geographic Reality Mining

Katayoun Farrahi

As we live our daily lives, our surroundings know about it. Our surroundings consist of people, but also our electronic devices. Our mobile phones, for example, continuously sense our movements and interactions. This socio-geographic data could be continuo ...

EPFL2011

Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models

Daniel Gatica-Perez, Katayoun Farrahi

In this work we discover the daily location-driven routines which are contained in a massive real-life human dataset collected by mobile phones. Our goal is the discovery and analysis of human routines which characterize both individual and group behaviors ...

2011

Fisher Kernels and Probabilistic Latent Semantic Models

Emmanuel Eckard

Tasks that rely on semantic content of documents, notably Information Retrieval and Document Classification, can benefit from a good account of document context, i.e. the semantic association between documents. To this effect, the scheme of latent semantic ...

EPFL2010

Modeling and Understanding Flickr Communities through Topic-based Analysis

Daniel Gatica-Perez, Radu Andrei Negoescu

With the increased presence of digital imaging devices there also came an explosion in the amount of multimedia content available online. Users have transformed from passive consumers of media into content creators and have started organizing themselves in ...

2010

Mining group nonverbal conversational patterns using probabilistic topic models

Daniel Gatica-Perez, Dinesh Babu Jayagopi

The automatic discovery of group conversational behavior is a relevant problem in social computing. In this paper, we present an approach to address this problem by defining a novel group descriptor called bag of group-nonverbal-patterns defined on brief o ...

2010

Rôle de la matrice d'information et pondération des composantes dans les noyaux de Fisher pour PLSI

Jean-Cédric Chappelier, Emmanuel Eckard

An information-geometric approach for document similarities in the framework of “Probabilistic Latent Semantic Indexing” was ﬁrst proposed by T. Hofmann (2000) and later extended (“revisited”) by Nyffenegger et al. (2006). This paper presents an in-depth s ...

2009

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Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

Institute of Mathematical Statistics2012

Sequential Topic Models for Mining Recurrent Activities and their Relationships : Application to long term video recordings

Jagannadan Varadarajan

EPFL2012