Overview and performance assessment of the clustering methods for electrical load pattern grou**

G Chicco - Energy, 2012 - Elsevier
In the current structure of the electricity business, distribution and supply services have been
unbundled in many jurisdictions. As a consequence of unbundling, electricity supply to …

Quantum optimization and quantum learning: A survey

Y Li, M Tian, G Liu, C Peng, L Jiao - Ieee Access, 2020 - ieeexplore.ieee.org
Quantum mechanism, which has received widespread attention, is in continuous evolution
rapidly. The powerful computing power and high parallel ability of quantum mechanism …

On the conditional Rényi entropy

S Fehr, S Berens - IEEE Transactions on Information Theory, 2014 - ieeexplore.ieee.org
The Rényi entropy of general order unifies the well-known Shannon entropy with several
other entropy notions, like the min-entropy or collision entropy. In contrast to the Shannon …

What could move? finding cars, pedestrians and bicyclists in 3d laser data

DZ Wang, I Posner, P Newman - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
This paper tackles the problem of segmenting things that could move from 3D laser scans of
urban scenes. In particular, we wish to detect instances of classes of interest in autonomous …

[PDF][PDF] Yapay zekâ yöntemlerinde entropi

MA Koşan, A Coşkun, H Karacan - Journal of Information Systems …, 2019 - dergipark.org.tr
Theimportance of measurement and quality of information, as well as attributing ameaning
to information, is understood better by considering many aspects suchas the historical …

Hierarchical segmentation of polarimetric SAR images using heterogeneous clutter models

L Bombrun, G Vasile, M Gay… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
In this paper, heterogeneous clutter models are used to describe polarimetric synthetic
aperture radar (PolSAR) data. The KummerU distribution is introduced to model the PolSAR …

Estimating Rényi entropy of discrete distributions

J Acharya, A Orlitsky, AT Suresh… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
It was shown recently that estimating the Shannon entropy H (p) of a discrete k-symbol
distribution p requires Θ (k/log k) samples, a number that grows near-linearly in the support …

Lost in translation (and rotation): Rapid extrinsic calibration for 2d and 3d lidars

W Maddern, A Harrison… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
This paper describes a novel method for determining the extrinsic calibration parameters
between 2D and 3D LIDAR sensors with respect to a vehicle base frame. To recover the …

The complexity of estimating Rényi entropy

J Acharya, A Orlitsky, AT Suresh, H Tyagi - … of the twenty-sixth annual ACM …, 2014 - SIAM
It was recently shown that estimating the Shannon entropy H (p) of a discrete k-symbol
distribution p requires Θ (k/log k) samples, a number that grows nearlinearly in the support …

A new entropy-based approach for fuzzy c-means clustering and its application to brain MR image segmentation

S Kahali, JK Sing, PK Saha - Soft Computing, 2019 - Springer
Automated segmentation of different tissue regions from brain magnetic resonance (MR)
imaging has a substantial impact on many computer-assisted neuro-imaging studies. Major …