AIMC Topic: Pattern Recognition, Automated

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Appearance variation adaptation tracker using adversarial network.

Neural networks : the official journal of the International Neural Network Society
Visual trackers using deep neural networks have demonstrated favorable performance in object tracking. However, training a deep classification network using overlapped initial target regions may lead an overfitted model. To increase the model general...

Deep learning in interstitial lung disease-how long until daily practice.

European radiology
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung...

A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization.

Neural computation
Sparsity is a desirable property in many nonnegative matrix factorization (NMF) applications. Although some level of sparseness of NMF solutions can be achieved by using regularization, the resulting sparsity depends highly on the regularization para...

Behavioral Activity Recognition Based on Gaze Ethograms.

International journal of neural systems
Noninvasive behavior observation techniques allow more natural human behavior assessment experiments with higher ecological validity. We propose the use of gaze ethograms in the context of user interaction with a computer display to characterize the ...

Pooling region learning of visual word for image classification using bag-of-visual-words model.

PloS one
In the problem where there is not enough data to use Deep Learning, Bag-of-Visual-Words (BoVW) is still a good alternative for image classification. In BoVW model, many pooling methods are proposed to incorporate the spatial information of local feat...

Image style transfer with collection representation space and semantic-guided reconstruction.

Neural networks : the official journal of the International Neural Network Society
Image style transfer renders the content of an image into different styles. Current methods made decent progress with transferring the style of single image, however, visual statistics from one image cannot reflect the full scope of an artist. Also, ...

Deep learning for symbols detection and classification in engineering drawings.

Neural networks : the official journal of the International Neural Network Society
Engineering drawings are commonly used in different industries such as Oil and Gas, construction, and other types of engineering. Digitising these drawings is becoming increasingly important. This is mainly due to the need to improve business practic...

AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction.

NeuroImage. Clinical
The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzheimer's Disease (AD) is critical for effective intervention and patient selection in clinical trials. Different biomarkers including neuroimaging have...

Group visualization of class-discriminative features.

Neural networks : the official journal of the International Neural Network Society
Research explaining the behavior of convolutional neural networks (CNNs) has gained a lot of attention over the past few years. Although many visualization methods have been proposed to explain network predictions, most fail to provide clear correlat...