This repository explores the algorithms and methods described in the paper: Finlayson, G. D., Drew, M. S., & Lu, C. (2004). Intrinsic Images by Entropy Minimization ...

This is a preview. Log in through your library . Abstract Entropy generation is recognized as a common measurement of the irreversibility in diverse processes, and entropy generation minimization has ...

SIAM Journal on Applied Mathematics, Vol. 67, No. 1 (2006), pp. 46-68 (23 pages) New quantum hydrodynamic equations are derived from a Wigner-Boltzmann model, using the quantum entropy minimization ...

Dana Marmolejo has focused her research on the design and retrofit of power generation and low-temperature processes through exergy analysis, entropy generation minimization, and process integration.

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

I am a student at TU Chemnitz, Germany. I am currently working on my master thesis project titled, 'Unsupervised Domain Adaptation for object detection.' I am working on the direct entropy ...

Abstract: An appropriate dimension reduction of raw data helps to reduce computational time and to reveal the intrinsic structure of complex data. In this paper, a dimension reduction method for ...