Search Results - "Xia, Shixiong"
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Indoor Fingerprint Positioning Based on Wi-Fi: An Overview
Published in ISPRS international journal of geo-information (01-05-2017)“…The widely applied location-based services require a high standard for positioning technology. Currently, outdoor positioning has been a great success;…”
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Real-Time Correlation Filter Tracking by Efficient Dense Belief Propagation With Structure Preserving
Published in IEEE transactions on multimedia (01-04-2017)“…Patch-based models that combine local image features or regions into loose geometric assemblies are a powerful paradigm for visual object tracking, and they…”
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3
Further study on indecomposable cryptographic functions
Published in Frontiers of Computer Science (2023)“…Conclusion The question related to (in)decomposition of functions has been addressed. We first corrected some results in [7]. Further, A generalized method to…”
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Large Sets of Disjoint Spectra Plateaued Functions Inequivalent to Partially Linear Functions
Published in IEEE transactions on information theory (01-04-2018)“…In this paper, we give an efficient method for constructing a large set of disjoint spectra functions without linear structures, which are not equivalent to…”
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Spatial hierarchy perception and hard samples metric learning for high-resolution remote sensing image object detection
Published in Applied intelligence (Dordrecht, Netherlands) (01-02-2022)“…Due to the different shooting angles, altitudes and scenes, remote sensing images contain many complex backgrounds and multi-scale objects. Moreover, objects…”
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Resource pooling in vehicular fog computing
Published in Journal of cloud computing : advances, systems and applications (24-02-2021)“…Vehicular fog computing (VFC) provisions computing services at the edge of networks by fully exploiting the idle resources of vehicle loaded computer systems…”
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Phase Timing Optimization for Smart Traffic Control Based on Fog Computing
Published in IEEE access (2019)“…The explosive growth of motor vehicles in urban areas has heavily burdened the existing transportation systems. Consequently, there are recently emerging smart…”
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8
Exploiting Spatial Structure from Parts for Adaptive Kernelized Correlation Filter Tracker
Published in IEEE signal processing letters (01-05-2016)“…Decomposing target into several parts may improve the capability of tracking algorithm to deal with appearance variations such as occlusion and deformation. In…”
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Spectral regression based fault feature extraction for bearing accelerometer sensor signals
Published in Sensors (Basel, Switzerland) (01-10-2012)“…Bearings are not only the most important element but also a common source of failures in rotary machinery. Bearing fault prognosis technology has been…”
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10
Quantum algorithms for learning the algebraic normal form of quadratic Boolean functions
Published in Quantum information processing (01-08-2020)“…Quantum algorithms for the analysis of Boolean functions have received a lot of attention over the last few years. The algebraic normal form (ANF) of a linear…”
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Fusion based feature reinforcement component for remote sensing image object detection
Published in Multimedia tools and applications (01-12-2020)“…In recent years, convolutional neural networks (CNN) have been extensively used for generic object detection due to their powerful feature extraction…”
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Training Lp norm multiple kernel learning in the primal
Published in Neural networks (01-10-2013)“…Some multiple kernel learning (MKL) models are usually solved by utilizing the alternating optimization method where one alternately solves SVMs in the dual…”
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Noise reduction in feature level and its application in rolling element bearing fault diagnosis
Published in Advances in mechanical engineering (01-03-2018)“…Vibration analysis is an effective way to accurately diagnose bearing faults, because it carries abundant information regarding mechanical health conditions…”
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14
Further results on constructions of generalized bent Boolean functions
Published in Science China. Information sciences (01-05-2016)“…Dear editor Boolean bent functions were introduced by Rothaus in 1976 as an interesting combinatorial object with the important property of having op- timal…”
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Adaptive weighted learning for linear regression problems via Kullback–Leibler divergence
Published in Pattern recognition (01-04-2013)“…In this paper, we propose adaptive weighted learning for linear regression problems via the Kullback–Leibler (KL) divergence. The alternative optimization…”
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16
Normalized discriminant analysis for dimensionality reduction
Published in Neurocomputing (Amsterdam) (13-06-2013)“…In this paper, we propose the normalized discriminant analysis (NDA) technique for dimensionality reduction. NDA is built on the information of data point…”
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17
Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications
Published in Pattern recognition (01-10-2011)“…Linear subspace methods are extensively used in many areas such as pattern recognition and machine learning. Among them, block subspace methods are efficient…”
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18
An Improved Group-Based Neighbor Discovery Algorithm for Mobile Sensor Networks
Published in International journal of distributed sensor networks (01-01-2014)“…Wireless sensor networks have been widely used in a variety of commercial and military applications, which often require neighbor nodes to establish connection…”
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19
Multiple Kernel Spectral Regression for Dimensionality Reduction
Published in Journal of Applied Mathematics (01-01-2013)“…Traditional manifold learning algorithms, such as locally linear embedding, Isomap, and Laplacian eigenmap, only provide the embedding results of the training…”
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ResT-ReID: Transformer block-based residual learning for person re-identification
Published in Pattern recognition letters (01-05-2022)“…•We propose an efficient hybrid ReID backbone for discriminative feature extraction.•We formulate an efficient PW-MSA block to free positions from the fixed…”
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