AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 551 to 560 of 814 articles

Robust Student Network Learning.

IEEE transactions on neural networks and learning systems Aug 16, 2019
Deep neural networks bring in impressive accuracy in various applications, but the success often relies on heavy network architectures. Taking well-trained heavy networks as teachers, classical teacher-student learning paradigm aims to learn a studen...
Humans Neural Networks, Computer Students Machine Learning Algorithms
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Siamese Neural Networks for User Identity Linkage Through Web Browsing.

IEEE transactions on neural networks and learning systems Aug 13, 2019
Linking online identities of users among countless heterogeneous network services on the Internet can provide an explicit digital representation of users, which can benefit both research and industry. In recent years, user identity linkage (UIL) thro...
Humans Web Browser Internet Information Storage and Retrieval Neural Networks, Computer
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Label-less Learning for Emotion Cognition.

IEEE transactions on neural networks and learning systems Aug 13, 2019
In this paper, we propose a label-less learning for emotion cognition (LLEC) to achieve the utilization of a large amount of unlabeled data. We first inspect the unlabeled data from two perspectives, i.e., the feature layer and the decision layer. By...
Humans Speech Recognition Software Emotions Deep Learning Automated Facial Recognition Cognition
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Episodic Memory in Minicolumn Associative Knowledge Graphs.

IEEE transactions on neural networks and learning systems Aug 5, 2019
A generalization of active neural associative knowledge graphs (ANAKGs) to their minicolumn form is presented in this paper. Each minicolumn represents a single symbol, and the activation of an individual neuron in a minicolumn depends on the context...
Humans Pattern Recognition, Automated Memory, Episodic Neural Networks, Computer Animals
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Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements.

IEEE transactions on neural networks and learning systems Jul 19, 2019
With the increasing popularity of social media and smart devices, the face as one of the key biometrics becomes vital for person identification. Among those face recognition algorithms, video-based face recognition methods could make use of both temp...
Facial Expression Photic Stimulation Automated Facial Recognition Humans Action Potentials Neural Networks, Computer Video Recording
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A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Jul 19, 2019
Recent years have witnessed the success of deep learning methods in human activity recognition (HAR). The longstanding shortage of labeled activity data inherently calls for a plethora of semisupervised learning methods, and one of the most challengi...
Human Activities Humans Neural Networks, Computer Supervised Machine Learning Pattern Recognition, Automated
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Riemannian Curvature of Deep Neural Networks.

IEEE transactions on neural networks and learning systems Jun 26, 2019
We analyze deep neural networks using the theory of Riemannian geometry and curvature. The objective is to gain insight into how Riemannian geometry can characterize and predict the trained behavior of neural networks. We define a method for calculat...
Algorithms Neural Networks, Computer Databases, Factual Deep Learning
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Online Incremental Classification Resonance Network and Its Application to Human-Robot Interaction.

IEEE transactions on neural networks and learning systems Jun 24, 2019
In human-robot interaction (HRI), classification is one of the most important problems, and it is essential particularly when the robot recognizes the surroundings and chooses a reaction based on a certain situation. Each interaction is different sin...
Robotics Humans Automated Facial Recognition Neural Networks, Computer Databases, Factual Artificial Intelligence
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Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure.

IEEE transactions on neural networks and learning systems Jun 24, 2019
In this paper, a full-regulated neural network (NN) with a double hidden layer recurrent neural network (DHLRNN) structure is designed, and an adaptive global sliding-mode controller based on the DHLRNN is proposed for a class of dynamic systems. The...
Pattern Recognition, Automated Artificial Intelligence Feedback Humans Algorithms Neural Networks, Computer
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Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes.

IEEE transactions on neural networks and learning systems Jun 21, 2019
Recent studies have demonstrated the effectiveness of supervised learning in spiking neural networks (SNNs). A trainable SNN provides a valuable tool not only for engineering applications but also for theoretical neuroscience studies. Here, we propos...
Neural Networks, Computer Machine Learning Algorithms Cognition Humans Neurons Action Potentials Psychomotor Performance
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