|
17
|
Eigentracking: Robust matching and tracking of objects using view-based representation
– M J Black, A D Jepson
- 1998
|
|
1025
|
Active Appearance Models
– Timothy F. Cootes, Gareth J. Edwards, Christopher J. Taylor
- 1998
|
|
1433
|
IT: Principal Component Analysis
– Jolliffe
|
|
846
|
Visual learning and recognition of 3-d objects from appearance
– H Murase, S K Nayar
- 1995
|
|
61
|
A Framework for Robust Subspace Learning
– Fernando De La Torre, Michael J. Black
- 2003
|
|
33
|
Robust Parameterized Component Analysis: Theory and Applications to 2D Facial Modeling
– Fernando De la Torre, Michael J. Black
- 2002
|
|
2223
|
Gesture Recognition
– Matthew Turk
|
|
203
|
Relations between two sets of variates
– H Hotelling
- 1936
|
|
22
|
The SVD and reduced rank signal processing
– L Scharf
- 1991
|
|
45
|
Estimating linear restrictions on regression coefficients for multivariate normal distributions
– T W Anderson
- 1951
|
|
86
|
Robust Principal Component Analysis for Computer Vision
– Fernando De La Torre, Michael J. Black
- 2001
|
|
43
|
Lower rank approximation of matrices by least squares with any choice of weights
– K R Gabriel, S Zamir
- 1979
|
|
336
|
Simplified neuron model as a principal component analyzer
– E Oja
- 1982
|
|
152
|
Neural networks and principal component analysis: Learning from examples without local minima
– P Baldi, K Hornik
- 1989
|
|
1229
|
A Global Geometric Framework for Nonlinear Dimensionality Reduction
– Joshua B Tenenbaum, Vin de Silva, John C Langford
|
|
86
|
Principal component analysis with missing data and its application to polyhedral object modeling
– H Shum, K Ikeuchi, R Reddy
- 1995
|
|
621
|
Visual reconstruction
– Andrew Blake, Andrew Zisserman
- 1987
|
|
1484
|
D: Pattern Classification
– R Duda, P Hart, Stork
|
|
476
|
Probabilistic Visual Learning for Object Representation
– Baback Moghaddam, Alex Pentland
- 1996
|
