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ORCIDTian Lan 0007
Person information
- affiliation: Oregon Health & Science University, Department of Biomedical Engineering, Portland, OR, USA
Other persons with the same name
- Tian Lan — disambiguation page
- Tian Lan 0001
![[0000-0003-3010-8090]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3010-8090")
— George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA (and 1 more) - Tian Lan 0002 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Electronic and Information Technology in Satellite Navigation, Beijing, China (and 2 more)
- Tian Lan 0003 — Beijing Institute of Technology, Department of Computer Science and Technology, Beijing, China
- Tian Lan 0004 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China (and 1 more)
- Tian Lan 0005 — University of Electronic Science and Technology of China, School of Information and Software Engineering, Network and Data Security Key Laboratory of Sichuan Province, Chengdu, China (and 1 more)
- Tian Lan 0006 — Salesforce Research, Palo Alto, CA, USA (and 3 more)
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Journal Articles
- 2007
[j2]Tian Lan, Deniz Erdogmus, André Adami, Santosh Mathan, Misha Pavel:
Channel Selection and Feature Projection for Cognitive Load Estimation Using Ambulatory EEG. Comput. Intell. Neurosci. 2007 (2007)- [j1]Tian Lan, Deniz Erdogmus:
Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis. J. VLSI Signal Process. 48(1-2): 39-52 (2007)
Conference and Workshop Papers
- 2010
- [c8]Tian Lan, Deniz Erdogmus, Lois M. Black, Jan P. H. van Santen:
Identifying informative features for ERP speller systems based on RSVP paradigm. ESANN 2010 - 2006
- [c7]Umut Ozertem, Deniz Erdogmus, Tian Lan:
Recursive Generalized Eigendecomposition for Independent Component Analysis. ICA 2006: 198-205 - [c6]Tian Lan, Yonghong Huang, Deniz Erdogmus:
A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking. ICA 2006: 823-830 - [c5]Umut Ozertem, Deniz Erdogmus, Tian Lan:
Mean Shift Spectral Clustering for Perceptual Image Segmentation. ICASSP (2) 2006: 117-120 - [c4]Tian Lan, Deniz Erdogmus, Misha Pavel, Santosh Mathan:
Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces. IJCNN 2006: 4650-4655 - [c3]Tian Lan, Deniz Erdogmus, Umut Ozertem, Yonghong Huang:
Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. IJCNN 2006: 5034-5039 - 2005
- [c2]Tian Lan, André Adami, Deniz Erdogmus, Misha Pavel:
Estimating cognitive state using EEG signals. EUSIPCO 2005: 1-4 - [c1]Tian Lan, Deniz Erdogmus, André Adami, Michael Pavel:
Feature selection by independent component analysis and mutual information maximization in EEG signal classification. IJCNN 2005: 3011-3016
Parts in Books or Collections
- 2008
- [p1]Deniz Erdogmus, Umut Ozertem, Tian Lan:
Information Theoretic Feature Selection and Projection. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 1-22
Coauthor Index
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