<IR> Framework implementation feedback
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A Minimal-Cost Inherent-Feedback Approach for Low-Power MRF-Based Logic Gates
The Markov random field (MRF) theory has been accepted as a highly effective framework for designing noise-tolerant nanometer digital VLSI circuits. In MRF-based design, proper feedback lines are used to control noise and keep the circuits in their valid states. However, this methodology has encountered two major problems that have limited the application of highly noise immune MRF-based circui...
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This paper introduces multi-level association graphs (MLAGs), a new graph-based framework for information retrieval (IR). The goal of that framework is twofold: First, it is meant to be a meta model of IR, i.e. it subsumes various IR models under one common representation. Second, it allows to model different forms of search, such as feedback, associative retrieval and browsing at the same time...
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Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it is known that users tend to minimise their e ort to access relevant information. It is, however, believed that the interaction between users and a retrieval system, such as a web search engine, can be exploited to provide bett...
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Many different communities have conducted research on the efficacy of relevance feedback in multimedia information systems. Unlike text IR, performance evaluation of multimedia IR systems tends to conform to the accepted standards of the community within which the work is conducted. This leads to idiosyncratic performance evaluations and hampers the ability to compare different techniques fairl...
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