[PDF][PDF] Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems.
O Tiryaki, CO Sakar - DATA, 2018 - scitepress.org
Canonical Correlation Analysis (CCA) is a data analysis technique used to extract correlated
features between two sets of variables. An important limitation of CCA is that it is a linear …
features between two sets of variables. An important limitation of CCA is that it is a linear …
A learning strategy for developing neural networks using repetitive observations
KY Chan, Z Liu - Soft Computing, 2019 - Springer
Neural networks can model system behaviors by learning past system observations. As
system observations are usually collected by human judgments, physical experiments or …
system observations are usually collected by human judgments, physical experiments or …
Weight-Adapted Convolution Neural Network for Facial Expression Recognition
The weight-adapted convolution neural network (WACNN) is proposed to extract
discriminative expression representations for recognizing facial expression. It aims to make …
discriminative expression representations for recognizing facial expression. It aims to make …
A survay on Multibiometric systems based on fusion on feature level
M Doostari, MM Naghibi Ferezghi… - کنفرانس ملي مهندسي …, 2018 - research.shahed.ac.ir
ندازهگیری انسان، در حوزههای مختلف ازجمله تجاری، نظامی و امنیت ملی مورد استفاده قرار میگیرند.
طراحی سیستم امنیتی با استفاده از یک منبع بیومتریک، دارای معایبی از جمله نویز در دادههای …
طراحی سیستم امنیتی با استفاده از یک منبع بیومتریک، دارای معایبی از جمله نویز در دادههای …
[引用][C] Applying data mining techniques to implement the clinical guidelines for the management of the patients with type 2 diabetes: medication dose adjustments
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