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» Invariances in kernel methods: From samples to objects
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BMCBI
2010
150views more  BMCBI 2010»
13 years 5 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
ISCI
2008
165views more  ISCI 2008»
13 years 7 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
IJCV
1998
135views more  IJCV 1998»
13 years 7 months ago
A Multibody Factorization Method for Independently Moving Objects
The structure-from-motion problem has been extensively studied in the field of computer vision. Yet, the bulk of the existing work assumes that the scene contains only a single mo...
João Paulo Costeira, Takeo Kanade
ACCV
2009
Springer
14 years 10 days ago
Multilevel Algebraic Invariants Extraction by Incremental Fitting Scheme
Algebraic invariants extracted from coefficients of implicit polynomials (IPs) have been attractive because of its convenience for solving the recognition problem in computer visio...
Bo Zheng, Jun Takamatsu, Katsushi Ikeuchi
3DIM
2005
IEEE
14 years 1 months ago
Transform-Based Methods for Indexing and Retrieval of 3D Objects
We compare two transform-based indexing methods for retrieval of 3D objects. We apply 3D Discrete Fourier Transform (DFT) and 3D Radial Cosine Transform (RCT) to the voxelized dat...
Helin Dutagaci, Bülent Sankur, Yücel Yem...