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NIPS
2004
15 years 5 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
CVPR
2008
IEEE
16 years 6 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
ICSM
2006
IEEE
15 years 10 months ago
Supporting Collaborative Development in an Open MDA Environment
The MDA approach aims to ease software maintenance faced with platform and business evolution. In this approach, main development artifacts, i.e. models, are defined with the Meta...
Prawee Sriplakich, Xavier Blanc, Marie-Pierre Gerv...
SMA
2008
ACM
396views Solid Modeling» more  SMA 2008»
15 years 4 months ago
Fast mesh segmentation using random walks
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...
TOG
2012
206views Communications» more  TOG 2012»
13 years 6 months ago
Beady: interactive beadwork design and construction
We introduce the interactive system “Beady” to assist the design and construction of customized 3D beadwork. The user first creates a polygonal mesh model called the design m...
Yuki Igarashi, Takeo Igarashi, Jun Mitani