Aug 8, 2024 · Deep learning, a subset of machine learning, involves training neural networks ... These networks are tailored for recognizing local patterns and features ...
Jul 19, 2024 · This paper summarizes the face recognition technologies proposed in recent years, and introduces the latest research progress in the field of face recognition ...
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6 days ago · Online first articles listing for Neural Computing and Applications.
Jul 17, 2024 · This study presents a novel deep learning-based ensemble model (EM) designed for multiple and specifically for precise early stage (Class 1) DR classification.
Aug 7, 2024 · Facial expression recognition using deep local-based convolutional neural network and multiple kernel learning. Pattern Recognit. 88, 272–282. Google ...
Aug 6, 2024 · The construction of a computerized image recognition system involves combining a Gabor convolutional neural network and a convex set projection method. This ...
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2 days ago · It used a single convolutional neural network (CNN) to detect objects in images by dividing the image into a grid, making multiple predictions per grid cell, ...
2 days ago · This work introduces an innovative method for estimating attention levels (cognitive load) using an ensemble of facial analysis techniques applied to webcam ...
Aug 1, 2024 · After introducing the basic concepts, the book examines techniques for modelling probability density functions and the properties and merits of the multi-layer ...
Jul 20, 2024 · Neural networks are a set of algorithms, modeled loosely after the human brain, designed to recognize patterns. They interpret sensory data through a kind ...
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