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07/30/2022
On translating conditional statements into mathematical logic
In this paper, we highlight a profound difference between conditional st...
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08/20/2021
PowerLinear Activation Functions with application to the first layer of CNNs
Convolutional neural networks (CNNs) have become the state-of-the-art to...
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02/26/2021
Neural Generalization of Multiple Kernel Learning
Multiple Kernel Learning is a conventional way to learn the kernel funct...
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08/20/2020
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
Prototype-based learning (PbL) using a winner-take-all (WTA) network bas...
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04/09/2020
A Pedagogically Sound yet Efficient Deletion algorithm for Red-Black Trees: The Parity-Seeking Delete Algorithm
Red-black (RB) trees are one of the most efficient variants of balanced ...
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03/11/2020
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches
Least mean squares (LMS) is a particular case of the backpropagation (BP...
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12/08/2017
Learning 2D Gabor Filters by Infinite Kernel Learning Regression
Gabor functions have wide-spread applications in image processing and co...
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07/14/2017
Generalizing the Convolution Operator in Convolutional Neural Networks
Convolutional neural networks have become a main tool for solving many m...
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06/26/2016