Sciweavers

5740 search results - page 505 / 1148
» Application of Level Set Methods in Computer Vision
Sort
View
CF
2009
ACM
16 years 2 months ago
Accelerating total variation regularization for matrix-valued images on GPUs
The advent of new matrix-valued magnetic resonance imaging modalities such as Diffusion Tensor Imaging (DTI) requires extensive computational acceleration. Computational accelera...
Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh
CONPAR
1994
15 years 11 months ago
A Software Architecture for Multidisciplinary Applications: Integrating Task and Data Parallelism
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scienti c and engineering appl...
Barbara M. Chapman, Piyush Mehrotra, John Van Rose...
ECCV
2006
Springer
16 years 9 months ago
Geometry and Kinematics with Uncertain Data
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...
Christian Perwass, Christian Gebken, Gerald Sommer
CVPR
2010
IEEE
16 years 4 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
ICPR
2010
IEEE
16 years 1 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...