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

Peer Sharing Behaviour in the eDonkey Network, and Implications for the Design of Server-less File Sharing Systems

Anne-Marie Kermarrec, Sidath Handurukande

In this paper we present an empirical study of a workload gathered by crawling the eDonkey network - a dominant peer-to-peer file sharing system - for over 50 days. We first confirm the presence of some known features, in particular the prevalence of free- ...

2006

Kernelized Infomax Clustering

We propose a simple information-theoretic clustering approach based on maximizing the mutual information

I(\sfx,y)

between the unknown cluster labels

y

and the training patterns

\sfx

with respect to parameters of specifically constrained encoding dis ...

IDIAP2005

Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

Jean-Philippe Thiran, Gianluca Antonini

In this paper we propose an approach to count the number of pedestrians, given a trajectory data set provided by a tracking system. The tracking process itself is treated as a black box providing us the input data. The idea is to apply a hierarchical clust ...

IEEE2005

Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams

Giovanni De Micheli, Luca Benini

The biclustering method can be a very useful analysis tool when some genes have multiple functions and experimental conditions are diverse in gene expression measurement. This is because the biclustering approach, in contrast to the conventional clustering ...

2005

Analysis of a Synonymy Network

Paolo De Los Rios, Jean-Cédric Chappelier, David Gfeller

The purpose of this report is to present the study of a linguistic network based on the relation of synonymy. The network has been extracted from a dictionary of synonyms in French. Due to errors and ambiguities in the data, the synonyms are not always gro ...

2004

Noisy Text Clustering

David Grangier, Alessandro Vinciarelli

This work presents document clustering experiments performed over noisy texts (i.e. text that have been extracted through an automatic process like speech or character recognition). The effect of recognition errors on different clustering techniques is mea ...

IDIAP2004

Making Retrieval Faster Through Document Clustering

David Grangier, Alessandro Vinciarelli

This work addresses the problem of reducing the time between query submission and results output in a retrieval system. The goal is achieved by considering only a database fraction as small as possible during the retrieval process. Our approach is based on ...

IDIAP2004

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering

In many signal such speech, bio-signals, protein chains, etc. there is a dependency between consecutive vectors. As the dependency is limited in duration such data can be called as Piecewise-Dependent- Data (PDD). In clustering it is frequently needed to m ...

2003

Finding Structure in Home Videos by Probabilistic Hierarchical Clustering

Daniel Gatica-Perez

Accessing, organizing, and manipulating home videos present technical challenges due to their unrestricted content and lack of storyline. In this paper, we present a methodology to discover cluster structure in home videos, which uses video shots as the un ...

2003

A Robust Speaker Clustering Algorithm

Jitendra Ajmera

In this paper, we present a novel speaker segmentation and clustering algorithm. The algorithm automatically performs both speaker segmentation and clustering without any prior knowledge of the identities or the number of speakers. Advantages of this algor ...

IDIAP2003

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

Graph Chatbot

Chat with Graph Search

Peer Sharing Behaviour in the eDonkey Network, and Implications for the Design of Server-less File Sharing Systems

Kernelized Infomax Clustering

Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams

Analysis of a Synonymy Network

Noisy Text Clustering

Making Retrieval Faster Through Document Clustering

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering

Finding Structure in Home Videos by Probabilistic Hierarchical Clustering

A Robust Speaker Clustering Algorithm

Peer Sharing Behaviour in the eDonkey Network, and Implications for the Design of Server-less File Sharing Systems

Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

Kernelized Infomax Clustering

Finding Structure in Home Videos by Probabilistic Hierarchical Clustering

A Robust Speaker Clustering Algorithm

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering

Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams

Analysis of a Synonymy Network

Noisy Text Clustering

Making Retrieval Faster Through Document Clustering