In this work, we propose to investigate the problem of similarity search on dimension incomplete data. A probabilistic framework is developed to model this ...

Jan 15, 2013 · In this work, we propose to investigate the problem of similarity search on dimension incomplete data. A probabilistic framework is developed to ...

In this work, we propose to investigate the problem of similarity search on dimension incomplete data. A probabilistic framework is developed to model this ...

Abstract. We propose and evaluate two indexing schemes for improving the efficiency of data retrieval in high-dimensional databases that are incomplete.

We refer to such a problem as the dimension incomplete problem. 1) Data missing when dimension information is not clearly maintained. In this case consider the ...

We want to investigate the problem of similarity search on dimension incomplete data. We have to reduce the number of compares among similar data. Missing ...

In this work, we propose to investigate the problem of similarity search on dimension incomplete data. A probabilistic framework is developed to model this ...

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Posted: 5 days ago

This paper presents a framework for searching the dimension in incomplete database. The existing work proposed that, on certain dimension data values are ...

Many techniques are being proposed to deal with incomplete databases by estimating and replacing missing sensor values using a well-suited statistical ...