AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 431 to 440 of 1671 articles

Fusing Self-Organized Neural Network and Keypoint Clustering for Localized Real-Time Background Subtraction.

International journal of neural systems Mar 2, 2020
Moving object detection in video streams plays a key role in many computer vision applications. In particular, separation between background and foreground items represents a main prerequisite to carry out more complex tasks, such as object classific...
Models, Theoretical Cluster Analysis Humans Neural Networks, Computer Pattern Recognition, Automated Subtraction Technique Image Interpretation, Computer-Assisted Datasets as Topic
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Multiple Discrimination and Pairwise CNN for view-based 3D object retrieval.

Neural networks : the official journal of the International Neural Network Society Feb 29, 2020
With the rapid development and wide application of computer, camera device, network and hardware technology, 3D object (or model) retrieval has attracted widespread attention and it has become a hot research topic in the computer vision domain. Deep ...
Cluster Analysis Deep Learning Pattern Recognition, Automated
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Parametric Deformable Exponential Linear Units for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2020
Rectified activation units make an important contribution to the success of deep neural networks in many computer vision tasks. In this paper, we propose a Parametric Deformable Exponential Linear Unit (PDELU) and theoretically verify its effectivene...
Pattern Recognition, Automated Databases, Factual Deep Learning
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A neural network for online spike classification that improves decoding accuracy.

Journal of neurophysiology Feb 26, 2020
Separating neural signals from noise can improve brain-computer interface performance and stability. However, most algorithms for separating neural action potentials from noise are not suitable for use in real time and have shown mixed effects on dec...
Brain-Computer Interfaces Electrocorticography Action Potentials Pattern Recognition, Automated Saccades Macaca mulatta Spatial Memory Neural Networks, Computer Animals Male Prefrontal Cortex
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Causal importance of low-level feature selectivity for generalization in image recognition.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2020
Although our brain and deep neural networks (DNNs) can perform high-level sensory-perception tasks, such as image or speech recognition, the inner mechanism of these hierarchical information-processing systems is poorly understood in both neuroscienc...
Generalization, Psychological Recognition, Psychology Visual Perception Pattern Recognition, Automated Photic Stimulation Neural Networks, Computer Humans Brain
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Chaos in fractional-order discrete neural networks with application to image encryption.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2020
In this paper, a three-dimensional fractional-order (FO) discrete Hopfield neural network (FODHNN) in the left Caputo discrete delta's sense is proposed, the dynamic behavior and synchronization of FODHNN are studied, and the system is applied to ima...
Humans Neural Networks, Computer Algorithms Nonlinear Dynamics Pattern Recognition, Automated Computer Security
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Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2020
Multiview Generalized Eigenvalue Proximal Support Vector Machine (MvGEPSVM) is an effective method for multiview data classification proposed recently. However, it ignores discriminations between different views and the agreement of the same view. Mo...
Pattern Recognition, Automated Support Vector Machine
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Low-rank discriminative regression learning for image classification.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2020
As a famous multivariable analysis technique, regression methods, such as ridge regression, are widely used for image representation and dimensionality reduction. However, the metric of ridge regression and its variants is always the Frobenius norm (...
Pattern Recognition, Automated Machine Learning
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Automated Video Behavior Recognition of Pigs Using Two-Stream Convolutional Networks.

Sensors (Basel, Switzerland) Feb 17, 2020
The detection of pig behavior helps detect abnormal conditions such as diseases and dangerous movements in a timely and effective manner, which plays an important role in ensuring the health and well-being of pigs. Monitoring pig behavior by staff is...
Pattern Recognition, Automated Animals Video Recording Humans Behavior, Animal Swine Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.

International journal of medical informatics Feb 14, 2020
OBJECTIVE: To develop an algorithm for identifying acronym 'sense' from clinical notes without requiring a clinically annotated training set.
Humans Natural Language Processing Medical Subject Headings Electronic Health Records Algorithms Pattern Recognition, Automated Infant, Newborn Abbreviations as Topic
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