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09/04/2023
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation
The edge processing of deep neural networks (DNNs) is becoming increasin...
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06/21/2023
Wildfire Detection Via Transfer Learning: A Survey
This paper surveys different publicly available neural network models us...
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05/27/2023
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
In this paper, we propose a novel Hadamard Transform (HT)-based neural n...
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03/13/2023
Orthogonal Transform Domain Approaches for the Convolutional Layer
In this paper, we propose a set of transform-based neural network layers...
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12/20/2022
Normalized Stochastic Gradient Descent Training of Deep Neural Networks
In this paper, we introduce a novel optimization algorithm for machine l...
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11/15/2022
DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer
In this paper, we propose a novel Discrete Cosine Transform (DCT)-based ...
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10/03/2022
Multipod Convolutional Network
In this paper, we introduce a convolutional network which we call MultiP...
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01/07/2022
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks
Convolution has been the core operation of modern deep neural networks. ...
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10/22/2021
Multiplication-Avoiding Variant of Power Iteration with Applications
Power iteration is a fundamental algorithm in data analysis. It extracts...
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05/25/2021
Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm
We consider a family of vector dot products that can be implemented usin...
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04/14/2021