Results 1 to 10 of about 279,486 (198)
A taxonomy of Deep Convolutional Neural Nets for Computer Vision [PDF]
Frontiers in Robotics and AI, 2016 Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features.
Suraj eSrinivas +5 more
doaj +7 more sources
Entangled q-convolutional neural nets [PDF]
Machine Learning: Science and Technology, 2021 We introduce a machine learning model, the q-CNN model, sharing key features with convolutional neural networks and admitting a tensor network description. As examples, we apply q-CNN to the MNIST and Fashion MNIST classification tasks.
Vassilis Anagiannis, Miranda C. N. Cheng
semanticscholar +9 more sources
ROADSIDE FOREST MODELING USING DASHCAM VIDEOS AND CONVOLUTIONAL NEURAL NETS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Tree failure is a primary cause of storm-related power outages throughout the United States. Roadside vegetation management is therefore critical to electric utility companies to prevent power outages during extreme weather conditions. It is difficult to
D. Joshi, C. Witharana
doaj +3 more sources
Convex Relaxations of Convolutional Neural Nets [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 We propose convex relaxations for convolutional neural nets with one hidden layer where the output weights are fixed. For convex activation functions such as rectified linear units, the relaxations are convex second order cone programs which can be ...
Burak Bartan, Mert Pilancı
semanticscholar +9 more sources
Network Inversion of Convolutional Neural Nets [PDF]
AAAI Conference on Artificial IntelligenceNeural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes." This opacity raises concerns about their interpretability and ...
Pirzada Suhail, Amit Sethi
semanticscholar +4 more sources
J Am Soc Nephrol, 2018 Background Histologic examination of fixed renal tissue is widely used to assess morphology and the progression of disease. Commonly reported metrics include glomerular number and injury.
Bukowy JD +8 more
europepmc +3 more sources
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs [PDF]
IEEE Access, 2020 Understanding driver activity is vital for in-vehicle systems that aim to reduce the incidence of car accidents rooted in cognitive distraction. Automating real-time behavior recognition while ensuring actions classification with high accuracy is however
Chaoyun Zhang +4 more
doaj +4 more sources
Convolutional neural nets in chemical engineering: Foundations, computations, and applications [PDF]
AIChE Journal, 2021 In this paper we review the mathematical foundations of convolutional neural nets (CNNs) with the goals of: i) highlighting connections with techniques from statistics, signal processing, linear algebra, differential equations, and optimization, ii ...
Shengli Jiang, V. Zavala
semanticscholar +5 more sources
Communication-Optimal Convolutional Neural Nets [PDF]
, 2018 Efficiently executing convolutional neural nets (CNNs) is important in many machine-learning tasks. Since the cost of moving a word of data, either between levels of a memory hierarchy or between processors over a network, is much higher than the cost of an arithmetic operation, minimizing data movement is critical to performance optimization.
James Demmel, Grace Dinh
+6 more sources
Downscaling Satellite and Reanalysis Precipitation Products Using Attention-Based Deep Convolutional Neural Nets [PDF]
Frontiers in Water, 2020 High-quality and high-resolution precipitation products are critically important to many hydrological applications. Advances in satellite remote sensing instruments and data retrieval algorithms continue to improve the quality of the operational ...
Alexander Y. Sun, Guoqiang Tang
openalex +2 more sources