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Chapter and Conference Paper
Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks
Traditional data mining techniques are difficult to be directly applied to wireless sensor networks because of the multidimensional and multilayered characteristics of wireless sensor networks. Based on the th...
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Chapter and Conference Paper
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers publish...
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Chapter and Conference Paper
HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks
We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image. Our method can recover local strand details and has real-time performance. State-of-the-art hair modelin...
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Chapter and Conference Paper
A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks
In this paper, a sufficient condition is presented to ensure the complete stability of a cellular neural networks (CNNs) that output functions are a set of piecewise sigmoid nonlinear functions. The convergenc...
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Chapter and Conference Paper
Identification of Cell-Cycle Phases Using Neural Network and Steerable Filter Features
In this paper, we aim to address the cell phase identification problem, and two important aspects, the feature extraction methods and the classifier design, are discussed. In our study, we first propose extrac...
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Chapter and Conference Paper
Model-Free Control of a Nonlinear ANC System with a SPSA-Based Neural Network Controller
In this paper, a feedforward active noise control (ANC) system using a mode-free neural network (MFNN) controller based on simultaneous perturbation stochastic approximation (SPSA) algorithm is considered. The...
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Chapter and Conference Paper
Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm
Designing a set of fuzzy neural networks can be considered as solving a multi-objective optimization problem. An algorithm for solving the multi-objective optimization problem is presented based on particle sw...