Tensor-Based Classification Models for Hyperspectral Data Analysis
نویسندگان
چکیده
منابع مشابه
Tensor-Based Classifiers for Hyperspectral Data Analysis
In this work, we present tensor-based linear and nonlinear models for hyperspectral data classification and analysis. By exploiting principles of tensor algebra, we introduce new classification architectures, the weight parameters of which satisfies the rank-1 canonical decomposition property. Then, we introduce learning algorithms to train both the linear and the non-linear classifier in a way...
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هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2018
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2018.2845450