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Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Publications associées (33)

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Exponential Natural Evolution Strategies

Daniël Pieter Wierstra, Tom Schaul

The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness. Like the well-known CMA-ES, the most competitive algorithm in the field, NES c ...

2010

Efficient Model-driven Query Processing Based on Data Regeneration

Saket Sathe, Petre Alexandru Arion

Nowadays, sensor data is generated in large amounts. Stor- ing or transmitting all the sensor’s measurements might not be the ideal choice because of the volume (and rate) at which it is generated. But we also cannot easily discard it, since ev- ery data m ...

2009

Machine learning approaches to text representation using unlabeled data

Mikaela Keller

With the rapid expansion in the use of computers for producing digitalized textual documents, the need of automatic systems for organizing and retrieving the information contained in large databases has become essential. In general, information retrieval s ...

EPFL2008

Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

Jean-Yves Le Boudec, Gianluca Rizzo

Aggregate scheduling is one of the most promising solutions to the issue of scalability in networks, like DiffServ networks and high speed switches, where hard QoS guarantees are required. For networks of FIFO aggregate schedulers, the main existing suffic ...

2008

Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

Jean-Yves Le Boudec, Gianluca Rizzo

2007

A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Query-Driven Indexing for Peer-to-Peer Text Retrieval

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Gleb Skobeltsyn

We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as the major obstacle for full-text retrieval in P2P networks, we truncate posti ...

2007

Machine Learning Approaches to Text Representation using Unlabeled Data

Mikaela Keller

Ecole Polytechnique Fédérale de Lausanne2006

Machine Learning Approaches to Text Representation using Unlabeled Data

Mikaela Keller

IDIAP2006

Scalable intelligent electronic catalogs

Marc Torrens Arnal

The world today is full of information systems which make huge quantities of information available. This incredible amount of information is clearly overwhelming Internet endusers. As a consequence, intelligent tools to identify worthwhile information are ...

EPFL2003