1297 search results - page 79 / 260 » Refractor Importance Sampling |
140
Voted
SIAMIS
2011
14 years 7 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
146
Voted
BMCBI
2011
14 years 4 months ago
2011
Background: Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions...
165
Voted
PAMI
2012
13 years 3 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
119
Voted
AAAI
2012
13 years 3 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
87
Voted
ICCV
1999
IEEE
16 years 2 months ago
1999
IEEE
The paper describes a scheme for detecting vehicles in images. The proposed method approximately models the unknown distribution of the images of vehicles by learning higher order...