Beyond term indexing: A P2P framework for Web information retrieval
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We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with the bandwidth consumption problem that has been identified as the major issue for the standard distributed approach ...
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The state-of-the-art techniques for processing multi-term queries in P2P environments are query flooding and inverted list intersection. However, it has been shown that due to scalability reasons both methods fail to support full-text search in large scale ...
This work presents a neural network for the retrieval of images from text queries. The proposed network is composed of two main modules: the first one extracts a global picture representation from local block descriptors while the second one aims at solvin ...
This work presents a neural network for the retrieval of images from text queries. The proposed network is composed of two main modules: the first one extracts a global picture representation from local block descriptors while the second one aims at solvin ...
Large-scale networked systems often, both by design or chance exhibit self-organizing properties. Understanding self-organization using tools from cybernetics, particularly modeling them as Markov processes is a first step towards a formal framework which ...
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval performance of the model. For that purpose, we rely on a ranking loss which ha ...
In recent years, overlay networks have proven a popular way of disseminating potentially large files from a single server S to a potentially large group of N end users via the Internet. A number of algorithms and protocols have been suggested, implemented ...
The state-of-the-art techniques for processing multi-term queries in P2P environments are query flooding and inverted list intersection. However, it has been shown that due to scalability reasons both methods fail to support full-text search in large scale ...
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval performance of the model. For that purpose, we rely on a ranking loss which ha ...
