Výsledky vyhledávání - "Abdallah, Habib Ben"

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Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window

Autor: Abdallah, Habib Ben, Henry, Christopher J., Ramanna, Sheela

Recently, the EAGL-I system was developed to rapidly create massive labeled datasets of plants intended to be commonly used by farmers and researchers to create AI-driven solutions in agriculture. As a result, a publicly available plant species recog

Externí odkaz: http://arxiv.org/abs/2203.02611

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Polynomial degree reduction in the $\mathcal{L}^2$-norm on a symmetric interval for the canonical basis

Autor: Abdallah, Habib Ben, Henry, Christopher J., Ramanna, Sheela

In this paper, we develop a direct formula for determining the coefficients in the canonical basis of the best polynomial of degree $M$ that approximates a polynomial of degree $N>M$ on a symmetric interval for the $\mathcal{L}^2$-norm. We also forma

Externí odkaz: http://arxiv.org/abs/2105.07258

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1-Dimensional polynomial neural networks for audio signal related problems

Autor: Abdallah, Habib Ben, Henry, Christopher J., Ramanna, Sheela

In addition to being extremely non-linear, modern problems require millions if not billions of parameters to solve or at least to get a good approximation of the solution, and neural networks are known to assimilate that complexity by deepening and w

Externí odkaz: http://arxiv.org/abs/2009.04077

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Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity

Autor: Kiranyaz, Serkan, Malik, Junaid, Abdallah, Habib Ben, Ince, Turker, Iosifidis, Alexandros, Gabbouj, Moncef

The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network model, ONNs are based on a ge

Externí odkaz: http://arxiv.org/abs/2009.08934

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Self-Organized Operational Neural Networks with Generative Neurons

Autor: Kiranyaz, Serkan, Malik, Junaid, Abdallah, Habib Ben, Ince, Turker, Iosifidis, Alexandros, Gabbouj, Moncef

Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron model. ONNs are heterogeno

Externí odkaz: http://arxiv.org/abs/2004.11778

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