Výsledky vyhledávání - "Zhang, ZeZheng"

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An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification

Autor: Xing, Jiaqi, Chen, Libo, Zhang, ZeZheng, Hasan, Mohammed Nazibul, Zhang, Zhi-Bin

Gradient descent computed by backpropagation (BP) is a widely used learning method for training artificial neural networks but has several limitations: it is computationally demanding, requires frequent manual tuning of the network architecture, and

Externí odkaz: http://arxiv.org/abs/2410.00745

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GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation

Autor: Zhang, Zezheng, Chan, Ryan K. Y., Wong, Kenneth K. Y.

In recent years, self-supervised monocular depth estimation has drawn much attention since it frees of depth annotations and achieved remarkable results on standard benchmarks. However, most of existing methods only focus on either daytime or nightti

Externí odkaz: http://arxiv.org/abs/2302.09884

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Akademický článek

GlocalFuse-Depth: Fusing transformers and CNNs for all-day self-supervised monocular depth estimation

Autor: Zhang, Zezheng, Chan, Ryan K.Y., Wong, Kenneth K.Y.

Publikováno v: In Neurocomputing 7 February 2024 569

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GA-MSSR: Genetic Algorithm Maximizing Sharpe and Sterling Ratio Method for RoboTrading

Autor: Zhang, Zezheng, Khushi, Matloob

Publikováno v: IJCNN 2020

Foreign exchange is the largest financial market in the world, and it is also one of the most volatile markets. Technical analysis plays an important role in the forex market and trading algorithms are designed utilizing machine learning techniques.

Externí odkaz: http://arxiv.org/abs/2008.09471

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