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PCM
2007
Springer
169views Multimedia» more  PCM 2007»
15 years 3 months ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
15 years 3 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
FGR
2000
IEEE
181views Biometrics» more  FGR 2000»
15 years 2 months ago
Face Detection Using Mixtures of Linear Subspaces
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
CVPR
2006
IEEE
15 years 12 months ago
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
Sheng Zhang, Terence Sim
CDC
2010
IEEE
114views Control Systems» more  CDC 2010»
14 years 4 months ago
On subspace identification of cascade structured systems
Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
Per Hagg, Bo Wahlberg, Henrik Sandberg