AIMC Topic: Pattern Recognition, Automated

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IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.

Journal of healthcare engineering Dec 3, 2020
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affec...
Internet of Things Pattern Recognition, Automated Precursor Cell Lymphoblastic Leukemia-Lymphoma Databases, Factual Diagnostic Imaging Telemedicine Leukemia, Lymphocytic, Chronic, B-Cell Leukemia, Myeloid, Acute Diagnosis, Computer-Assisted Cloud Computing Deep Learning Leukemia, Myelogenous, Chronic, BCR-ABL Positive Leukemia Humans Neural Networks, Computer Machine Learning COVID-19 Algorithms
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Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons.

IEEE transactions on neural networks and learning systems Nov 30, 2020
This article proposes an unsupervised address event representation (AER) object recognition approach. The proposed approach consists of a novel multiscale spatio-temporal feature (MuST) representation of input AER events and a spiking neural network ...
Neural Networks, Computer Artificial Intelligence Humans Algorithms Neurons Pattern Recognition, Automated Databases, Factual Electronic Data Processing Computer Simulation Models, Neurological
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A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2020
The brain successfully performs visual object recognition with a limited number of hierarchical networks that are much shallower than artificial deep neural networks (DNNs) that perform similar tasks. Here, we show that long-range horizontal connecti...
Visual Cortex Neural Networks, Computer Visual Pathways Brain Pattern Recognition, Automated Animals Visual Perception
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Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network.

Neural networks : the official journal of the International Neural Network Society Nov 27, 2020
This work is aimed to study experimental and theoretical approaches for searching effective local training rules for unsupervised pattern recognition by high-performance memristor-based Spiking Neural Networks (SNNs). First, the possibility of weight...
Algorithms Neuronal Plasticity Models, Neurological Neurons Pattern Recognition, Automated Neural Networks, Computer
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Facial Expression Recognition Using Frequency Neural Network.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 24, 2020
Facial expression recognition has become a newly-emerging topic in recent decades, which has important value in the field of human-computer interaction. In this paper, we present a deep learning based approach, named frequency neural network (FreNet)...
Image Processing, Computer-Assisted Pattern Recognition, Automated Facial Expression Male Deep Learning Humans Neural Networks, Computer Databases, Factual Female
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Learning sparse and meaningful representations through embodiment.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2020
How do humans acquire a meaningful understanding of the world with little to no supervision or semantic labels provided by the environment? Here we investigate embodiment with a closed loop between action and perception as one key component in this p...
Humans Semantics Neural Networks, Computer Pattern Recognition, Automated Deep Learning Reinforcement, Psychology
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Modality independent adversarial network for generalized zero shot image classification.

Neural networks : the official journal of the International Neural Network Society Nov 21, 2020
Zero Shot Learning (ZSL) aims to classify images of unseen target classes by transferring knowledge from source classes through semantic embeddings. The core of ZSL research is to embed both visual representation of object instance and semantic descr...
Neural Networks, Computer Machine Learning Databases, Factual Semantics Pattern Recognition, Automated
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Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 18, 2020
Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect and recognize. Most recent works have attempted to recognize MEs with spatial and temporal information from video clips. According to psychological studies, th...
Facial Expression Humans Algorithms Databases, Factual Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated
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Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data.

Sensors (Basel, Switzerland) Nov 16, 2020
To further extend the applicability of wearable sensors in various domains such as mobile health systems and the automotive industry, new methods for accurately extracting subtle physiological information from these wearable sensors are required. How...
Affect Pattern Recognition, Automated Monitoring, Physiologic Bayes Theorem Heart Rate Deep Learning Emotions Humans
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An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques.

Sensors (Basel, Switzerland) Nov 12, 2020
In recent years the advances in Artificial Intelligence (AI) have been seen to play an important role in human well-being, in particular enabling novel forms of human-computer interaction for people with a disability. In this paper, we propose a sEMG...
Algorithms Deep Learning Gestures Humans Neural Networks, Computer Artificial Intelligence Pattern Recognition, Automated Video Games Rehabilitation Hand Electromyography
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