With the exponential growth of data, it is difficult to efficiently store and retrieve data using traditional methods. There a need optimize storage relevant matching user query. Traditional methods lack optimized effectively data. To overcome these limitations, in this project, we propose distributed architecture framework memory usage Content-Based Image Retrieval (CBIR). The experimental res...

This work examines the problem of learning an unknown von Neumann measurement dimension $d$ from a finite number copies. To obtain faithful approximation given measurement, we are allowed to use it $N$ times. Our main goal is estimate asymptotic behavior maximum value average fidelity function ${F}_{d}$ for general $N\ensuremath{\rightarrow}1$ scheme. We show that ${F}_{d}=1\ensuremath{-}\mathr...