Results 31 to 40 of about 127,282 (272)
Automatic Smoke Detection Based on SLIC-DBSCAN Enhanced Convolutional Neural Network
IEEE Access, 2021 Video flame and smoke-based fire detection usually exhibit large variations in the feature of color, texture, shapes, etc., caused by the complex environment.
Dali Sheng, Jinlian Deng, Jiawei Xiang
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Pattern classification using a linear associative memory [PDF]
, 1989 Pattern classification is a very important image processing task. A typical pattern classification algorithm can be broken into two parts; first, the pattern features are extracted and, second, these features are compared with a stored set of reference ...
Eichmann, George, Kasparis, Takis
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Tracking Target Signal Strengths on a Grid using Sparsity [PDF]
, 2011 Multi-target tracking is mainly challenged by the nonlinearity present in the measurement equation, and the difficulty in fast and accurate data association. To overcome these challenges, the present paper introduces a grid-based model in which the state
AK Jain +32 more
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A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image
Sensors, 2021 The star tracker is widely used for high-accuracy missions due to its high accuracy position high autonomy and low power consumption. On the other hand, the ability of interference suppression of the star tracker has always been a hot issue of concern. A
Chenguang Shi +4 more
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Machine Learning and Integrative Analysis of Biomedical Big Data. [PDF]
, 2019 Recent developments in high-throughput technologies have accelerated the accumulation of massive amounts of omics data from multiple sources: genome, epigenome, transcriptome, proteome, metabolome, etc. Traditionally, data from each source (e.g., genome)
Choi, Howard +5 more
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Performance evaluation of simple linear iterative clustering algorithm on medical image processing
Bio-Medical Materials and Engineering, 2014 Simple Linear Iterative Clustering (SLIC) algorithm is increasingly applied to different kinds of image processing because of its excellent perceptually meaningful characteristics. In order to better meet the needs of medical image processing and provide technical reference for SLIC on the application of medical image segmentation, two indicators of ...
Jinyu, Cong +4 more
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A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution
Sensors, 2016 The simple linear iterative clustering (SLIC) method is a recently proposed popular superpixel algorithm. However, this method may generate bad superpixels for synthetic aperture radar (SAR) images due to effects of speckle and the large dynamic range of
Huanxin Zou +3 more
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Innovation Pursuit: A New Approach to Subspace Clustering
, 2017 In subspace clustering, a group of data points belonging to a union of subspaces are assigned membership to their respective subspaces. This paper presents a new approach dubbed Innovation Pursuit (iPursuit) to the problem of subspace clustering using a ...
Atia, George, Rahmani, Mostafa
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Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM [PDF]
, 2018 © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).Coherent optical
Aldaya, Ivan +5 more
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Applied SciencesThe morphology and connectivity of subsurface fracture networks are critical factors controlling wellbore stability and hydraulic fracturing efficiency.
Xiuxia Sun +5 more
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