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Finding Audio-Visual Events in Informal Social Gatherings

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Business interest in Swiss climate policy

Alexandra Quandt

Business interest associations play an important role in the decision making process of climate policy. In 2009, the revision of the Swiss CO2 law for designing post-2012 climate policy is at stake. This paper analyzes the positions and arguments of the Sw ...

NCCR Climate2010

Fast high-dimensional Bayesian classification and clustering

Vahid Partovi Nia

We introduce a fast approach to classification and clustering applicable to high-dimensional continuous data, based on Bayesian mixture models for which explicit computations are available. This permits us to treat classification and clustering in a single ...

EPFL2009

A Clustering Method Based on Soft Learning of Model (Prototype) and Dissimilarity Metrics

Arash Arami

Many clustering methods are designed for especial cluster types or have good performance dealing with particular size and shape of clusters. The main problem in this connection is how to define a similarity (or dissimilarity) criterion to make an algorithm ...

Springer-Verlag2009

Appearance-based Keypoint Clustering

Pascal Fua, Sabine Süsstrunk, Vincent Lepetit, Francisco Estrada

We present an algorithm for clustering sets of detected interest points into groups that correspond to visually distinct structure. Through the use of a suitable colour and texture representation, our clustering method is able to identify keypoints that be ...

2009

Flickr Hypergroups

Daniel Gatica-Perez, Radu Andrei Negoescu

The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often self-organize in user communities through Flickr Groups. These groups are part ...

2009

Flickr Hypergroups

Daniel Gatica-Perez, Radu Andrei Negoescu

Idiap2009

Data mining methodologies for supporting engineers during system identification

Sandro Saitta

Data alone are worth almost nothing. While data collection is increasing exponentially worldwide, a clear distinction between retrieving data and obtaining knowledge has to be made. Data are retrieved while measuring phenomena or gathering facts. Knowledge ...

EPFL2008

Contrast polarity, chromaticity, and stereoscopic depth modulate contextual interactions in vernier acuity

Michael Herzog, Bilge Sayim

Vernier alignment thresholds are strongly compromised when the vernier is embedded in an array of equal-length flanking lines. Here, we show that these contextual interactions can be diminished by giving the flanks the opposite contrast polarity, e.g., whi ...

Association for Research in Vision and Ophthalmology2008

Learning Cluster Type and Dissimilarity Metric for Each Cluster Using a Set of Possible Cluster Types

Arash Arami

One of the shortcomings of the existing clustering methods is their problems dealing with different shape and size clusters. On the other hand, most of these methods are designed for especial cluster types or have good performance dealing with particular s ...

2007

Using Hierarchical Clustering for Learning the Ontologies used in Recommendation Systems

Boi Faltings, Vincent Jean Fabrice Schickel

Ontologies are being successfully used to overcome semantic heterogeneity, and are becoming fundamental elements of the Semantic Web. Recently, it has also been shown that ontologies can be used to build more accurate and more personalized recommendation s ...

2007