Results 211 to 220 of about 40,198 (236)

Kernel based K-means clustering using rough set

2012 International Conference on Computer Communication and Informatics, 2012
From the beginning of the data analysis system cluster computing plays an important role on it. The very early developed clustering algorithms which can handle only numerical data and K-means clustering is one of them and was proposed by Macqueen [1] in 1967. This algorithm helps us to find the homogeneity of the data set.
B. K. Tripathy, Adhir Ghosh, G. K. Panda
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Space-carving Kernels for Accurate Rough Terrain Estimation

The International Journal of Robotics Research, 2010
Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a three-dimensional (3D) surface allows rough and hilly ground to be represented, yielding faster driving and better planning and control. However, data from a 3D sensor samples the terrain unevenly, quickly becoming sparse at longer ranges and containing ...
Raia Hadsell, J. Andrew Bagnell, Daniel Huber, Martial Hebert   +3 more
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An extension of Marcinkiewicz integrals with rough kernels

Acta Mathematica Scientia
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Huoxiong, Wu, Lin
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Rough estimates on the scalar heat kernel

2011
This chapter establishes rough estimates on the heat kernel rb,tX for the scalar hypoelliptic operator AbX on X defined in the preceding chapter. By rough estimates, this chapter refers to just the uniform bounds on the heat kernel. The chapter also obtains corresponding bounds for the heat kernels associated with operators AbX and another AbX over ̂X.
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Learning Rough Set Based Classifiers Using Boolean Kernels

2019
In this paper we present a hybridization of Rough Set (RS) theory and Support Vector Machine (SVM). Both approaches to data analysis employ the area between positively and negatively labeled examples, i.e. the “boundary region” in RS and the “margin” in SVM, but they offer different ways to use this concept in the classification problem.
Hung Son Nguyen, Sinh Hoa Nguyen
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Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction

IEEE Transactions on Fuzzy Systems, 2020
Bin Cao, Jianwei Zhao, Zhi-Han Lv
exaly  

Rough Carbon–Iron Oxide Nanohybrids for Near-Infrared-II Light-Responsive Synergistic Antibacterial Therapy

ACS Nano, 2021
Bing-Ran Yu, Nana Zhao, Chen Zhang
exaly  

Kernelized Fuzzy-Rough Anomaly Detection

IEEE Transactions on Fuzzy Systems
Yan Wu, Sihan Wang, Hongmei Chen, Dezhong Peng, Zhong Yuan   +4 more
openaire   +1 more source

rough, a Drosophila homeobox gene required in photoreceptors R2 and R5 for inductive interactions in the developing eye

Cell, 1988
Gerald M Rubin
exaly  

Progress in understanding wetting transitions on rough surfaces

Advances in Colloid and Interface Science, 2015
Edward Bormashenko
exaly