AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 281 to 290 of 1671 articles

Giant Panda Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
The lack of automatic tools to identify giant panda makes it hard to keep track of and manage giant pandas in wildlife conservation missions. In this paper, we introduce a new Giant Panda Identification (GPID) task, which aims to identify each indivi...
Video Recording Pattern Recognition, Automated Ursidae Biometric Identification Animals Image Processing, Computer-Assisted Machine Learning Algorithms
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Fast semantic segmentation method for machine vision inspection based on a fewer-parameters atrous convolution neural network.

PloS one Feb 10, 2021
Owing to the recent development in deep learning, machine vision has been widely used in intelligent manufacturing equipment in multiple fields, including precision-manufacturing production lines and online product-quality inspection. This study aims...
Deep Learning Semantics Pattern Recognition, Automated
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A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO).

IEEE transactions on neural networks and learning systems Feb 4, 2021
Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of such networks. To cope with t...
Humans Neural Networks, Computer Pattern Recognition, Automated Handwriting Algorithms Deep Learning
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Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Channel pruning is an effective technique that has been widely applied to deep neural network compression. However, many existing methods prune from a pretrained model, thus resulting in repetitious pruning and fine-tuning processes. In this article,...
Humans Deep Learning Computer Systems Pattern Recognition, Automated Data Compression Image Processing, Computer-Assisted Neural Networks, Computer Artificial Intelligence Algorithms Databases, Factual
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Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning.

IEEE transactions on neural networks and learning systems Feb 4, 2021
The capability for environmental sound recognition (ESR) can determine the fitness of individuals in a way to avoid dangers or pursue opportunities when critical sound events occur. It still remains mysterious about the fundamental principles of biol...
Machine Learning Algorithms Brain Humans Neural Networks, Computer Sound Models, Neurological Pattern Recognition, Automated Neurons Environment
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A Review of the Discriminant Analysis Methods for Food Quality Based on Near-Infrared Spectroscopy and Pattern Recognition.

Molecules (Basel, Switzerland) Feb 1, 2021
Near-infrared spectroscopy (NIRS) combined with pattern recognition technique has become an important type of non-destructive discriminant method. This review first introduces the basic structure of the qualitative analysis process based on near-infr...
Pattern Recognition, Automated Food Quality Humans Neural Networks, Computer Food Analysis Discriminant Analysis Spectroscopy, Near-Infrared
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Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2021
The encoder-decoder structure has been introduced into semantic segmentation to improve the spatial accuracy of the network by fusing high- and low-level feature maps. However, recent state-of-the-art encoder-decoder-based methods can hardly attain t...
Semantics Pattern Recognition, Automated Machine Learning Spatial Analysis
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Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation.

American journal of physiology. Heart and circulatory physiology Jan 29, 2021
Although atrial fibrillation (AF) is the most common cardiac arrhythmia, its early identification, diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk factors, targeting an individualized treatment of AF demand...
Therapy, Computer-Assisted Heart Function Tests Heart Rate Pattern Recognition, Automated Humans Diagnosis, Computer-Assisted Action Potentials Machine Learning Clinical Decision-Making Heart Conduction System Predictive Value of Tests Neural Networks, Computer Atrial Fibrillation Artificial Intelligence
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Controllable stroke-based sketch synthesis from a self-organized latent space.

Neural networks : the official journal of the International Neural Network Society Jan 28, 2021
Learning to synthesize free-hand sketches controllably according to specified categories and sketching styles is a challenging task, due to the lack of training data with category labels and style labels. One choice to control the synthesis is by sel...
Machine Learning Pattern Recognition, Automated
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Extracting and Learning Fine-Grained Labels from Chest Radiographs.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today. Recently, a number of researchers have begun working on large chest X-ray datasets to develop deep learning models for recognition of a handful o...
Deep Learning Machine Learning Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Humans Diagnosis, Computer-Assisted Thorax Neural Networks, Computer Pattern Recognition, Automated
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