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» Dimensionality Reduction for Classification
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133
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CVPR
2010
IEEE
15 years 5 months ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang
VISSYM
2007
15 years 5 months ago
Subdivision Volume Splatting
Volumetric Subdivision (VS) is a powerful paradigm that enables volumetric sculpting and realistic volume deformations that give rise to the concept of "virtual clay". I...
Kevin T. McDonnell, Neophytos Neophytou, Klaus Mue...
137
Voted
AAAI
2008
15 years 4 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han
123
Voted
APGV
2008
ACM
145views Visualization» more  APGV 2008»
15 years 4 months ago
On optimal resampling of view and illumination dependent textures
The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional ...
Jirí Filip, Mike J. Chantler, Michal Haindl
139
Voted
ACII
2005
Springer
15 years 4 months ago
A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
Wen-Sheng Chen, Pong Chi Yuen, Jian Huang, Jian-Hu...