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Kernel (operating system)

Known as: Nucleus (operating system), Kernel design, Kernel memory 
The kernel (also called nucleus) is a computer program that constitutes the central core of a computer's operating system. It has complete control… 
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Related topics

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"Classic" Mac OSACM Computing SurveysAddress spaceApplication programming interface

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Our objective is to develop formulations and algorithms for efficiently computing the feature selection path - i.e. the variation… 
2012
2012
Kernel Entropy Component Analysis for Remote Sensing Image Clustering
This letter proposes the kernel entropy component analysis for clustering remote sensing data. The method generates nonlinear… 
2012
2012
Single-frame hand gesture recognition using color and depth kernel descriptors
This paper presents a flexible method for single-frame hand gesture recognition by fusing information from color and depth images… 
2011
2011
Localized Multiple Kernel Learning for Realistic Human Action Recognition in Videos
Realistic human action recognition in videos has been a useful yet challenging task. Video shots of same actions may present huge… 
2009
2009
Bayesian Localized Multiple Kernel Learning
Multiple kernel learning approaches to multi-view learning [1, 11, 7] have recently become very popular since they can easily… 
2009
2009
Fairness and Interactivity of Three CPU Schedulers in Linux
CPU scheduler is a very important subsystem which affects system throughput, interactivity and fairness. The development of Linux… 
2008
2008
Video Annotation Based on Kernel Linear Neighborhood Propagation
The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in… 
Highly Cited
2007
Highly Cited
2007
Blurred/Non-Blurred Image Alignment using Sparseness Prior
Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics… 
2005
2005
Adapting multiple kernel parameters for support vector machines using genetic algorithms
Kernel parameterization is a key design step in the application of support vector machines (SVM) for supervised learning problems… 
1999
1999
Multi-category classification by kernel based nonlinear subspace method
The kernel based nonlinear subspace (KNS) method is proposed for multi-class pattern classification. This method consists of the…