Z
Zhonglin Lin
Researcher at Tsinghua University
Publications - 5
Citations - 851
Zhonglin Lin is an academic researcher from Tsinghua University. The author has contributed to research in topics: Supervised learning & Nonlinear dimensionality reduction. The author has an hindex of 3, co-authored 5 publications receiving 753 citations.
Papers
More filters
Journal ArticleDOI
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs
TL;DR: A recognition approach is proposed based on the extracted frequency features for an SSVEP-based brain computer interface (BCI) that were higher than those using a widely used fast Fourier transform (FFT)-based spectrum estimation method.
Journal ArticleDOI
Rapid and brief communication: Exploring the structure of supervised data by Discriminant Isometric Mapping
TL;DR: This paper introduced a novel algorithm named supervised isometric mapping (SIsomap) which was based on a combination of two well-known methods: isomap and fuzzy linear discriminant analysis (LDA).
Book ChapterDOI
Network boosting for BCI applications
TL;DR: The result on the Data set II of BCI (Brain-computer interface) competition III shows that Network Boosting achieves higher classification accuracy than logistic regression, SVM, Bagging and AdaBoost.
Book ChapterDOI
Learning the Supervised NLDR Mapping for Classification
TL;DR: This work applies neural network to learning an explicit mapping from original space to embedded space and then to classify, and shows that the proposed method has satisfactory performance.
Proceedings ArticleDOI
Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition
TL;DR: This paper proposes a new strategy based on supervised learning for frequency recognition of multichannel signals that employs feature selection within this framework to adopt efficient coefficients which may not be the largest coefficients for the features vectors.