Sciweavers

447 search results - page 67 / 90
» Linear discriminant analysis for data with subcluster struct...
Sort
View
KDD
2004
ACM
138views Data Mining» more  KDD 2004»
14 years 10 months ago
IDR/QR: an incremental dimension reduction algorithm via QR decomposition
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
ICIP
2007
IEEE
14 years 12 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
BMEI
2009
IEEE
13 years 11 months ago
A Framework of Adaptive Brain Computer Interfaces
Non-stationarity is often found in session-to-session transfers of Brain Computer Interfaces (BCIs). To cope with the problem, a framework based on Common Spatial Patterns (CSP), ...
Yan Li, Yasuharu Koike, Masashi Sugiyama
ICPR
2010
IEEE
13 years 8 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 4 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li