AIMC Topic: Pattern Recognition, Automated

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Multiparameter Space Decision Voting and Fusion Features for Facial Expression Recognition.

Computational intelligence and neuroscience Dec 29, 2020
Obtaining a valid facial expression recognition (FER) method is still a research hotspot in the artificial intelligence field. In this paper, we propose a multiparameter fusion feature space and decision voting-based classification for facial express...
Facial Expression Face Artificial Intelligence Pattern Recognition, Automated Algorithms Facial Recognition
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Self-organized operational neural networks for severe image restoration problems.

Neural networks : the official journal of the International Neural Network Society Dec 23, 2020
Discriminative learning based on convolutional neural networks (CNNs) aims to perform image restoration by learning from training examples of noisy-clean image pairs. It has become the go-to methodology for tackling image restoration and has outperfo...
Photic Stimulation Neurons Pattern Recognition, Automated Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning.

Neural networks : the official journal of the International Neural Network Society Dec 23, 2020
This paper introduces a novel framework for generative models based on Restricted Kernel Machines (RKMs) with joint multi-view generation and uncorrelated feature learning, called Gen-RKM. To enable joint multi-view generation, this mechanism uses a ...
Humans Neural Networks, Computer Deep Learning Pattern Recognition, Automated Photic Stimulation
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Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences.

Sensors (Basel, Switzerland) Dec 18, 2020
Human Action Recognition (HAR) is the classification of an action performed by a human. The goal of this study was to recognize human actions in action video sequences. We present a novel feature descriptor for HAR that involves multiple features and...
Human Activities Support Vector Machine Pattern Recognition, Automated Humans Neural Networks, Computer
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KGen: a knowledge graph generator from biomedical scientific literature.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new knowledge requires computational ...
Pattern Recognition, Automated Semantics Biological Ontologies Humans Software Natural Language Processing
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Greedy auto-augmentation for n-shot learning using deep neural networks.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2020
The goal of n-shot learning is the classification of input data from small datasets. This type of learning is challenging in neural networks, which typically need a high number of data during the training process. Recent advancements in data augmenta...
Databases, Factual Deep Learning Pattern Recognition, Automated Photic Stimulation Humans Neural Networks, Computer
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A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
The prediction of epileptic seizures has been an essential problem of epilepsy study. The calcium imaging video data images the whole brain-wide neurons activities with electrical discharge recorded by calcium fluorescence intensity (CFI). In this pa...
Seizures Neuroimaging Zebrafish Machine Learning Calcium Support Vector Machine Animals Pattern Recognition, Automated Electroencephalography
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DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2020
Knowledge graph reasoning aims to find reasoning paths for relations over incomplete knowledge graphs (KG). Prior works may not take into account that the rewards for each position (vertex in the graph) may be different. We propose the distance-aware...
Humans Deep Learning Pattern Recognition, Automated Algorithms Databases, Factual Knowledge Reinforcement, Psychology
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Joint Person Objectness and Repulsion for Person Search.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Dec 4, 2020
Person search targets to search the probe person from the unconstrainted scene images, which can be treated as the combination of person detection and person matching. However, the existing methods based on the Detection-Matching framework ignore the...
Image Processing, Computer-Assisted Video Recording Pattern Recognition, Automated Biometric Identification Humans Neural Networks, Computer
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Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification.

IEEE transactions on cybernetics Dec 3, 2020
Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pattern classification. Contrary to the DNNs trained from end to end by ...
Algorithms Databases, Factual Humans Neural Networks, Computer Pattern Recognition, Automated Image Processing, Computer-Assisted Biometric Identification Face
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