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ACIVS
2007
Springer
14 years 23 days ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic
ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
CF
2009
ACM
14 years 3 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
CGF
2008
217views more  CGF 2008»
13 years 9 months ago
A Flexible Kernel for Adaptive Mesh Refinement on GPU
We present a flexible GPU kernel for adaptive on-the-fly refinement of meshes with arbitrary topology. By simply reserving a small amount of GPU memory to store a set of adaptive ...
Tamy Boubekeur, Christophe Schlick
CRIWG
2006
13 years 10 months ago
Analyzing the Roles of PDA in Meeting Scenarios
This paper proposes a conceptual model standardizing the meeting information structures underlying several scenarios o PDA use in meetings. The paper characterizes the memory and p...
Gustavo Zurita, Pedro Antunes, Luís Carri&c...