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Unsupervised Robust Nonparametric Learning Of Hidden Community Properties

Related publications (39)

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Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data

Ali H. Sayed

Adaptive networks rely on in-network and collaborative processing among distributed agents to deliver enhanced performance in estimation and inference tasks. Information is exchanged among the nodes, usually over noisy links. The combination weights that a ...

IEEE2012

Definitive Consensus for Distributed Data Inference

Leonidas Georgopoulos

Inference from data is of key importance in many applications of informatics. The current trend in performing such a task of inference from data is to utilise machine learning algorithms. Moreover, in many applications that it is either required or is pref ...

EPFL2011

Graph-based codes for quantize-map-and-forward relaying

Christina Fragouli, Suhas Diggavi, Ayfer Özgür Aydin, Siddhartha Brahma, Ayan Sengupta

We present a structured Quantize-Map-and- Forward (QMF) scheme for cooperative communication over wireless networks, that employs LDPC ensembles for the node operations and message-passing algorithms for decoding. We demonstrate through extensive simulatio ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Traffic Anomaly Detection and Diagnosis on the Network Flow Level

Marc Philippe Stöcklin

Monitoring traffic events in computer network has become a critical task for operators to maintain an accurate view of a network's condition, to detect emerging security threats, and to safeguard the availability of resources. Conditions detrimental to a n ...

EPFL2011

Shifting Network Tomography Toward A Practical Goal

Patrick Thiran, Denisa Gabriela Ghita, Can Karakus

Boolean Inference makes it possible to observe the congestion status of end-to-end paths and infer, from that, the congestion status of individual network links. In principle, this can be a powerful monitoring tool, in scenarios where we want to monitor a ...

2011

Rethinking Boolean Network Tomography

Denisa Gabriela Ghita

2011

Selfish Response to Epidemic Propagation

Jean-Yves Le Boudec, Georgios Theodorakopoulos

An epidemic spreading in a network calls for a decision on the part of the network members: They should decide whether to protect themselves or not. Their decision depends on the trade off between their perceived risk of being infected and the cost of bein ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Routing and search on large scale networks

Dominique Florian Tschopp

In this thesis, we address two seemingly unrelated problems, namely routing in large wireless ad hoc networks and comparison based search in image databases. However, the underlying problem is in essence similar and we can use the same strategy to attack t ...

EPFL2010

On the Broadcast Capacity of Wireless Networks With Cooperative Relays

Michael Christoph Gastpar

A fundamental problem in wireless networks is determining the broadcast capacity, i.e., the maximum data transfer rate from a given node to every other node in a relay network. This paper studies the scaling of the broadcast capacity for a network with a s ...

2010

A New Fast Training Algorithm of the WTM Kohonen Neural Network Implemented for Classification of Biomedical Signals

Rafal Tomasz Dlugosz

A new optimized algorithm for the learning process suitable for hardware implemented Winner Takes Most Kohonen Neural Network (KNN) has been proposed in the paper. In networks of this type a neighborhood mechanism is used to improve the convergence propert ...

2009