The proceedings contain 148 papers. The topics discussed include: back-propagation with chaos;a closed-form semi-blind solution to MIMO-OFDM channel estimation;dynamic hand gesture recognition using a CNN model with 3...
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ISBN:
(纸本)9781424423118
The proceedings contain 148 papers. The topics discussed include: back-propagation with chaos;a closed-form semi-blind solution to MIMO-OFDM channel estimation;dynamic hand gesture recognition using a CNN model with 3D receptive fields;research on finding community structure based on filtration network model;exploring complex networks by thermal flux spreading;symbolic vector dynamics for processing chaotic signals II: noise reduction;symbolic vector dynamics for processing chaotic signals I: communication;an option-based empirical investigation of Chinese corporate liquidity value;estimation of induction motor speed based on artificial neuralnetworks inversion system;a lossless coding scheme for encoding color-indexed video sequences;and constrained one-bit transform for retinex based motion estimation for sequences with brightness variations.
The proceedings contain 421 papers. The topics discussed include: transductive support vector machines and applications in bioinfomatics for promoter recognition;an iterative algorithm for BYY learning on Gaussian mix...
ISBN:
(纸本)0780377028
The proceedings contain 421 papers. The topics discussed include: transductive support vector machines and applications in bioinfomatics for promoter recognition;an iterative algorithm for BYY learning on Gaussian mixture with automated model selection;recurrent neural network analysis of seizure activity in subdural EEG;effect of decay functions on the generalization ability of TWDRLS algorithms;a fast training algorithm for support vector machine via boundary sample selection;an annealing approach to BYY harmony learning on gaussian mixture with automated model selection;feature expansion and feature selection for general pattern recognition problems;auditory model inversion and its application;an efficient human face indexing scheme using eigenfaces;underwater acousitc targets classification using support vector machine;and image retrieval with EMD for new perceptual color feature.
The proceedings contain 421 papers. The topics discussed include: transductive support vector machines and applications in bioinfomatics for promoter recognition;an iterative algorithm for BYY learning on Gaussian mix...
ISBN:
(纸本)0780377028
The proceedings contain 421 papers. The topics discussed include: transductive support vector machines and applications in bioinfomatics for promoter recognition;an iterative algorithm for BYY learning on Gaussian mixture with automated model selection;recurrent neural network analysis of seizure activity in subdural EEG;effect of decay functions on the generalization ability of TWDRLS algorithms;a fast training algorithm for support vector machine via boundary sample selection;an annealing approach to BYY harmony learning on gaussian mixture with automated model selection;feature expansion and feature selection for general pattern recognition problems;auditory model inversion and its application;an efficient human face indexing scheme using eigenfaces;underwater acousitc targets classification using support vector machine;and image retrieval with EMD for new perceptual color feature.
The following topics are dealt with: neural information processing; supervised learning; unsupervised learning; reinforcement learning; neural modeling; neural architectures; neurodynamics; learning theory; neural net...
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The following topics are dealt with: neural information processing; supervised learning; unsupervised learning; reinforcement learning; neural modeling; neural architectures; neurodynamics; learning theory; neuralnetworks for image and signalprocessing; CMOS implementation of neuralnetworks; neural optimization; neural control; hardware implementation; neural real world applications; evolutionary computation; evolutionary design; evolutionary neuralnetworks; hybrid systems; signalprocessing theory; digital filters; chaos analysis; time series analysis; adaptive signalprocessing; speech processing; image processing; video signalprocessing; array signalprocessing; multi-channel signalprocessing; independent component analysis; blind signal separation; blind channel estimation; blind equalization; MIMO communications; digital watermarking; network signalprocessing; and information security.
The proceedings contain 96 papers. The topics discussed include: study on attenuation characteristics of THz waves in dusty plasma with full ionization under multi-angle and multi-magnetic fields;research on the appli...
ISBN:
(纸本)9798400710834
The proceedings contain 96 papers. The topics discussed include: study on attenuation characteristics of THz waves in dusty plasma with full ionization under multi-angle and multi-magnetic fields;research on the application of spatiotemporal feature analysis in radar target classification;research on secure authentication for cross-domain cloud edge collaborative communication based on attribute encryption;radar echo signals analysis and modeling for low-altitude target detection;a compressed storage system for power communication network traffic data based on microservices architecture;research on efficient development and management methods for satellite models;research on the environmental adaptation and optimization of unmanned driving road detection vehicles with ground penetrating radar;and achieving covert communication in UCRNs via energy harvesting and primary transmitter jamming.
We delve into the issue of node classification within graphs, specifically reevaluating the concept of neighborhood aggregation, which is a fundamental component in graph neuralnetworks (GNNs). Our analysis reveals c...
We propose a novel method for interpreting neuralnetworks, focusing on convolutional neural network-based receiver model. The method identifies which unit or units of the model contain most (or least) information abo...
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Learning rate is a crucial parameter in training of neuralnetworks. A properly tuned learning rate leads to faster training and higher test accuracy. In this paper, we propose a Lipschitz bandit-driven approach for t...
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