Results 41 to 50 of about 1,305,191 (158)
Effective Handwritten Digit Recognition using Deep Convolution Neural Network
International Journal of Advanced Trends in Computer Science and Engineering, 2020 This paper proposed a simple neural network approach towards handwritten digit recognition using convolution. With machine learning algorithms like KNN,SVM/SOM, recognizing digits is considered as one of the unsolvable tasks due to its distinctiveness in
Yellapragada Ss Bharadwaj
semanticscholar +1 more source
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks [PDF]
arXiv, 2022 Convolutional neural networks have gained vast popularity due to their excellent performance in the fields of computer vision, image processing, and others. Unfortunately, it is now well known that convolutional networks often produce erroneous results - for example, minor perturbations of the inputs of these networks can result in severe ...
arxiv
Towards Dropout Training for Convolutional Neural Networks [PDF]
Neural Networks 71: 1-10 (2015), 2015 Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in convolutional and pooling layers is still not clear. This paper demonstrates that max-pooling dropout is equivalent to randomly picking activation based on a multinomial ...
arxiv +1 more source
Parallel Multi Channel Convolution using General Matrix Multiplication
, 2017 Convolutional neural networks (CNNs) have emerged as one of the most successful machine learning technologies for image and video processing. The most computationally intensive parts of CNNs are the convolutional layers, which convolve multi-channel ...
Anderson, Andrew +2 more
core +1 more source
Efficient Remote Sensing in Agriculture via Active Learning and Opt-HRDNet
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAs the foundation of human survival, the development of agriculture has always played an important role in social development. The quality of agricultural development determines the speed of social progress.
Desheng Chen +4 more
doaj +1 more source
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion [PDF]
arXiv, 2023 The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most entity alignment methods only use graph neural network to obtain the embedding of graph structure or use attribute text description to obtain semantic representation, ignoring ...
arxiv
Speech Processing in Computer Vision Applications [PDF]
, 2020 Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core +2 more sources
Object tracking method based on edge detection and morphology
EURASIP Journal on Advances in Signal ProcessingWith the continuous development of science and technology, intelligent surveillance technology using image processing and computer vision is also progressing. To improve the performance of target detection and tracking, an improved target tracking method
Jie Xu, Sijie Niu, Zhifeng Wang
doaj +1 more source
J. Sensors, 2020 Automated seizure detection system based on electroencephalograms (EEG) is an interdisciplinary research problem between computer science and neuroscience.
Zhe Zhang +7 more
semanticscholar +1 more source
A Theory for Integer Only Numerical Analysis (Draft ) [PDF]
, 2016 This draft is to be presented at the 14 th International Conference on p−adic Analysis, in Aurillac, France, July 2016. The final version of this draft is to be submitted soon afterwards.
Esbelin, Henri-Alex, Malgouyres, Rémy
core +1 more source