Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives
Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of
faults (FDD) in traction systems have become an active issue in the transportation area over …
faults (FDD) in traction systems have become an active issue in the transportation area over …
A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives
The increasing wireless data traffic demands have driven the need to explore suitable
spectrum regions for meeting the projected requirements. In the light of this, millimeter wave …
spectrum regions for meeting the projected requirements. In the light of this, millimeter wave …
Canonical correlation analysis: An overview with application to learning methods
DR Hardoon, S Szedmak… - Neural computation, 2004 - ieeexplore.ieee.org
We present a general method using kernel canonical correlation analysis to learn a
semantic representation to web images and their associated text. The semantic space …
semantic representation to web images and their associated text. The semantic space …
Convex multi-task feature learning
We present a method for learning sparse representations shared across multiple tasks. This
method is a generalization of the well-known single-task 1-norm regularization. It is based …
method is a generalization of the well-known single-task 1-norm regularization. It is based …
[引用][C] Independent Component Analysis: A tutorial Introduction
JV Stone - 2004 - books.google.com
A tutorial-style introduction to a class of methods for extracting independent signals from a
mixture of signals originating from different physical sources; includes MatLab computer …
mixture of signals originating from different physical sources; includes MatLab computer …
A new method of feature fusion and its application in image recognition
QS Sun, SG Zeng, Y Liu, PA Heng, DS Xia - Pattern Recognition, 2005 - Elsevier
A new method of feature extraction, based on feature fusion, is proposed in this paper
according to the idea of canonical correlation analysis (CCA). At first, the theory framework …
according to the idea of canonical correlation analysis (CCA). At first, the theory framework …
A single-side neural network-aided canonical correlation analysis with applications to fault diagnosis
Recently, canonical correlation analysis (CCA) has been explored to address the fault
detection (FD) problem for industrial systems. However, most of the CCA-based FD methods …
detection (FD) problem for industrial systems. However, most of the CCA-based FD methods …
Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections
Droughts often evolve gradually and cover large areas, and therefore, affect many people
and activities. This motivates developing techniques to integrate different satellite …
and activities. This motivates developing techniques to integrate different satellite …
The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique
KT Sweeney, SF McLoone… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Biosignal measurement and processing is increasingly being deployed in ambulatory
situations particularly in connected health applications. Such an environment dramatically …
situations particularly in connected health applications. Such an environment dramatically …
A system for traffic sign detection, tracking, and recognition using color, shape, and motion information
C Bahlmann, Y Zhu, V Ramesh… - IEEE Proceedings …, 2005 - ieeexplore.ieee.org
This paper describes a computer vision based system for real-time robust traffic sign
detection, tracking, and recognition. Such a framework is of major interest for driver …
detection, tracking, and recognition. Such a framework is of major interest for driver …