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pro vyhledávání: '"Anthony D. Rhodes"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:8988-8996
This work introduces Fractional Adaptive Linear Units (FALUs), a flexible generalization of adaptive activation functions. Leveraging principles from fractional calculus, FALUs define a diverse family of activation functions (AFs) that encompass many
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
Top Lang Disord
Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative
Autor:
Bin Jiang, Anthony D. Rhodes
Publikováno v:
DCC
We present a robust, parts-based data compression algorithm, L21 Semi-Nonnegative Matrix Factorization (L21 SNF) for mixed-sign data. To resolve the instability issue caused by the Frobenius norm due to the effects of outliers, we utilize the noise-f
Autor:
Manan Goel, Anthony D. Rhodes
Publikováno v:
CVMP
We provide a high fidelity deep learning algorithm (HyperSeg) for interactive video segmentation tasks using a convolutional network with context-aware skip connections, and compressed, ”hypercolumn” image features combined with a convolutional t
Autor:
Anthony D. Rhodes, Manan Goel
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030325220
We present a novel algorithm utilizing a deep Siamese neural network as a general object similarity function in combination with a Bayesian optimization (BO) framework to encode spatio-temporal information for efficient object tracking in video. In p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58478e5bc77427e59d0b07267685618a
https://doi.org/10.1007/978-3-030-32523-7_71
https://doi.org/10.1007/978-3-030-32523-7_71
Autor:
Anthony D. Rhodes
Publikováno v:
CEC
We apply two evolutionary search algorithms: Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) to the design of Cellular Automata (CA) that can perform computational tasks requiring global coordination. In particular, we compare search e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7384cdffa3fa3243092403615e4d3cd3
Publikováno v:
IPTA
We develop a general-purpose algorithm using a Bayesian optimization framework for the efficient refinement of object proposals. While recent research has achieved substantial progress for object localization and related objectives in computer vision
Publikováno v:
IJCNN
A major goal of computer vision is to enable computers to interpret visual situations---abstract concepts (e.g., "a person walking a dog," "a crowd waiting for a bus," "a picnic") whose image instantiations are linked more by their common spatial and