AIMC Topic: Pattern Recognition, Automated

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KG2Vec: A node2vec-based vectorization model for knowledge graph.

PloS one Mar 30, 2021
Since the word2vec model was proposed, many researchers have vectorized the data in the research field based on it. In the field of social network, the Node2Vec model improved on the basis of word2vec can vectorize nodes and edges in social networks,...
Computer Graphics Social Networking Databases, Factual Information Services Deep Learning Semantics Pattern Recognition, Automated Humans Models, Theoretical Data Accuracy
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Detecting slender objects with uncertainty based on keypoint-displacement representation.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2021
Slender objects are long and thin objects. Existing object detection networks are not specially designed for detecting slender objects. We propose a method to detect slender objects. We represent slender objects with a keypoint-displacement pattern i...
Uncertainty Neural Networks, Computer Electrodes Pattern Recognition, Automated
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A Deep Learning Framework for Recognizing Both Static and Dynamic Gestures.

Sensors (Basel, Switzerland) Mar 23, 2021
Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dynamic gestures, using simple RGB vision (without depth sensing). This f...
Neural Networks, Computer Female Humans Gestures Hand Male Deep Learning Pattern Recognition, Automated
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Anomalous Behavior Detection Framework Using HTM-Based Semantic Folding Technique.

Computational and mathematical methods in medicine Mar 16, 2021
Upon the working principles of the human neocortex, the Hierarchical Temporal Memory model has been developed which is a proposed theoretical framework for sequence learning. Both categorical and numerical types of data are handled by HTM. Semantic F...
Electronic Data Processing Learning Machine Learning Computational Biology Models, Neurological Neocortex Memory Algorithms Humans Natural Language Processing Semantics Neural Networks, Computer Pattern Recognition, Automated
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Uncorrelated feature encoding for faster image style transfer.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2021
Recent image style transfer methods use a pre-trained convolutional neural network as their feature encoder. However, the pre-trained network is not optimal for image style transfer but rather for image classification. Furthermore, they require time-...
Image Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning
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Optimum Feature Selection with Particle Swarm Optimization to Face Recognition System Using Gabor Wavelet Transform and Deep Learning.

BioMed research international Mar 10, 2021
In this study, Gabor wavelet transform on the strength of deep learning which is a new approach for the symmetry face database is presented. A proposed face recognition system was developed to be used for different purposes. We used Gabor wavelet tra...
Humans Pattern Recognition, Automated Databases, Factual Facial Recognition Deep Learning
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Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study.

International journal of computer assisted radiology and surgery Mar 5, 2021
PURPOSE: Deep learning (DL) has led to widespread changes in automated segmentation and classification for medical purposes. This study is an attempt to use statistical methods to analyze studies related to segmentation and classification of head and...
Humans Image Processing, Computer-Assisted Software Head and Neck Neoplasms Brain Neoplasms Pattern Recognition, Automated Deep Learning False Positive Reactions Glioma Magnetic Resonance Imaging
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SPLASH: Learnable activation functions for improving accuracy and adversarial robustness.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2021
We introduce SPLASH units, a class of learnable activation functions shown to simultaneously improve the accuracy of deep neural networks while also improving their robustness to adversarial attacks. SPLASH units have both a simple parameterization a...
Neural Networks, Computer Pattern Recognition, Automated
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AR3D: Attention Residual 3D Network for Human Action Recognition.

Sensors (Basel, Switzerland) Feb 28, 2021
At present, in the field of video-based human action recognition, deep neural networks are mainly divided into two branches: the 2D convolutional neural network (CNN) and 3D CNN. However, 2D CNN's temporal and spatial feature extraction processes are...
Human Activities Video Recording Pattern Recognition, Automated Humans Neural Networks, Computer
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Knowledge graph embedding with shared latent semantic units.

Neural networks : the official journal of the International Neural Network Society Feb 27, 2021
Knowledge graph embedding (KGE) aims to project both entities and relations into a continuous low-dimensional space. However, for a given knowledge graph (KG), only a small number of entities and relations occur many times, while the vast majority of...
Neural Networks, Computer Knowledge Bases Semantics Pattern Recognition, Automated
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