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New Multi-Keyword Ciphertext Search Method for Sensor Network Cloud Platforms

Publications associées (36)

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Distributed link-based ranking in P2P Web retrieval

Jie Wu

One of the main differences between modern search engines and traditional ones is the adoption of link-based ranking algorithm in ordering Web documents. Google has claimed that it is its link-based ranking algorithm, PageRank that has made the quality of ...

EPFL2006

A Peer-to-Peer Architecture for Information Retrieval Across Digital Library Collections

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Fabius Klemm

Peer-to-peer networks have been identified as promising architectural concept for developing search scenarios across digital library collections. Digital libraries typically offer sophisticated search over their local content, however, search methods invol ...

Springer2006

A Peer-to-Peer Architecture for Information Retrieval Across Digital Library Collections

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Fabius Klemm

Peer-to-peer networks have been identified as promising architectural concepts for developing attractive search scenarios across digital library collections. Digital libraries typically offer sophisticated search over their local content, however, search m ...

2006

Building a peer-to-peer full-text Web search engine with highly discriminative keys

Karl Aberer, Martin Rajman, Vinh Toan Luu, Ivana Podnar, Fabius Klemm

Web search engines designed on top of peer-to-peer (P2P) overlay networks show promise to enable attractive search scenarios operating at a large scale. However the design of effective indexing techniques for extremely large document collections still rais ...

2005

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

Single-linkage clustering for optimal classification in piecewise affine regression

Giancarlo Ferrari Trecate

When performing regression with piecewise affine maps, the most challenging task is to classify the data points, i.e. to correctly attribute a data point to the affine submodel that most likely generated it. In this paper, we consider a regression scheme s ...

2003

Algorithms for Video Structuring

Daniel Gatica-Perez, Jean-Marc Odobez

Video structuring aims at automatically finding structure in a video sequence. Occupying a key-position within video analysis, it is a fundamental step for quality indexing and browsing. As a low level video analysis, video structuring can be seen as a ser ...

IDIAP2002

Self-Organizing-Maps With BIC For Speaker Clustering

A new approach is presented for clustering the speakers from unlabeled and unsegmented conversation, when the number of speakers is unknown. In this approach, each speaker is modeled by a Self- Organizing-Map (SOM). For estimation of the number of clusters ...

IDIAP2002

Thematic Indexing of Spoken Documents by Using Self-Organizing Maps

A method is presented to provide a useful searchable index for spoken audio documents. The task differs from the traditional (text) document indexing, because large audio databases are decoded by automatic speech recognition and decoding errors occur frequ ...

IDIAP2000

Indexing spoken audio by LSA and SOMs

This paper presents an indexing system for spoken audio documents. The framework is indexing and retrieval of broadcast news. The proposed indexing system applies latent semantic analysis (LSA) and self-organizing maps (SOM) to map the documents into a sem ...

IDIAP2000