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A-optimal convolutional neural network
Neural Computing and Applications, 2016In this paper, we propose a novel data representation-classification model learning algorithm. The model is a convolutional neural network (CNN), and we learn its parameters to achieve A-optimality. The input multi-instance data are represented by a CNN model, and then classified by a linear classification model.
Zihong Yin +5 more
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Quadtree Convolutional Neural Networks
2018This paper presents a Quadtree Convolutional Neural Network (QCNN) for efficiently learning from image datasets representing sparse data such as handwriting, pen strokes, freehand sketches, etc. Instead of storing the sparse sketches in regular dense tensors, our method decomposes and represents the image as a linear quadtree that is only refined in ...
Pradeep Kumar Jayaraman +3 more
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A Survey on Convolution Neural Networks
2020 IEEE REGION 10 CONFERENCE (TENCON), 2020Major tools to implement any Artificial Intelligence and Machine Learning systems are Symbolic AI and Artificial Neural Network (ANN) AI. ANN has made a dramatic improvement in the versatile area of Machine Learning (ML). ANN is a gathering of vast number of weighted interconnected artificial neurons, initially invented with the inspiration of ...
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Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
ACM Computing Surveys, 2022Claudio Filipi Goncalves dos Santos +1 more
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
IEEE Transactions on Neural Networks and Learning Systems, 2022Jun Zhou, Fan Liu, Zewen Li
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Explainable Convolutional Neural Networks: A Taxonomy, Review, and Future Directions
ACM Computing Surveys, 2023Omair Shafiq, Rami Ibrahim
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1D Convolutional Neural Networks and Applications: A Survey
Mechanical Systems and Signal Processing, 2021Daniel J. Inman +2 more
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EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
IEEE Transactions on Affective Computing, 2020Zhen Cui, Peng Song, Wenming Zheng
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