Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Chunguang Li"'
Probabilistic Information-Theoretic Discriminant Analysis for Industrial Label-Noise Fault Diagnosis
Autor:
Xiaokun Pu, Chunguang Li
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:2664-2674
Fault diagnosis, which aims to identify the root cause of the observed abnormality, is essential for the control and optimization of industrial processes. Many existing data-driven fault diagnosis methods require all the training samples to be correc
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-11
Training neural network classifiers (NNCs) usually requires all instances to be correctly labeled, which is difficult and/or expensive to satisfy in some practical applications. When label noise is present, mislabeled data will severely mislead the t
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28:531-540
Objective: Most BCI (brain-computer interface) studies have focused on detecting motion intention from a resting state. However, the dynamic regulation of two motion states, which usually happens in real life, is rarely studied. Besides, popular with
Publikováno v:
IEEE Transactions on Image Processing. 29:5147-5162
Multispectral imaging plays a vital role in the area of computer vision and computational photography. As spectral band images can be misaligned due to imaging device movement or alternation, image registration is necessary to avoid spectral informat
Publikováno v:
IEEE Access, Vol 8, Pp 40018-40028 (2020)
Person reidentification (ReID) is a challenging task of finding a target pedestrian in a gallery set collected from multiple nonoverlapping camera views. Recently, state-of-the-art ReID performance has been achieved via an end-to-end trainable deep n
Publikováno v:
Electronics, Vol 10, Iss 1239, p 1239 (2021)
Electronics
Volume 10
Issue 11
Electronics
Volume 10
Issue 11
This paper aims at realizing upper limb rehabilitation training by using an fNIRS-BCI system. This article mainly focuses on the analysis and research of the cerebral blood oxygen signal in the system, and gradually extends the analysis and recogniti
Publikováno v:
Cyborg and Bionic Systems, Vol 2021 (2021)
In some patients who have suffered an amputation or spinal cord injury, walking ability may be degraded or deteriorated. Helping these patients walk independently on their own initiative is of great significance. This paper proposes a method to ident
Publikováno v:
Information Sciences. :125-141
Recently, support vector machine (SVM) has received much attention due to its good performance and wide applicability. As a supervised learning algorithm, the standard SVM uses sufficient labeled data to obtain the optimal decision hyperplane. Howeve
Publikováno v:
IEEE Robotics and Automation Letters. 3:532-536
To achieve more intelligent performance for walking-assistive devices, spontaneous motion intention of walking speed should be identified for providing a control command. In this letter, cerebral hemoglobin information was analyzed to recognize three
Publikováno v:
IEEE Transactions on Image Processing. 26:2988-3001
Subspace clustering refers to the problem of segmenting data drawn from a union of subspaces. State-of-the-art approaches for solving this problem follow a two-stage approach. In the first step, an affinity matrix is learned from the data using spars