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ICCV
2007
IEEE
16 years 6 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han
172
Voted
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 4 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
133
Voted
ICFP
2010
ACM
15 years 5 months ago
Regular, shape-polymorphic, parallel arrays in Haskell
We present a novel approach to regular, multi-dimensional arrays in Haskell. The main highlights of our approach are that it (1) is purely functional, (2) supports reuse through s...
Gabriele Keller, Manuel M. T. Chakravarty, Roman L...
123
Voted
TMI
2008
116views more  TMI 2008»
15 years 3 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
125
Voted
ICIP
2008
IEEE
16 years 5 months ago
Consistent and regularized magnification of images
Because more output data must be created than is available from the input, magnification is an ill-posed problem. Traditional magnification relies on resampling an interpolation mo...
Aurélien Bourquard, Katarina Balac, Michael...