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» A Framework for Structured Distributed Object Computing
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MICCAI
1998
Springer
15 years 10 months ago
Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures
We propose a new way of embedding shape distributions in a topological deformable template. These distributions rely on global shape descriptors corresponding to the 3D moment inva...
Fabrice Poupon, Jean-Francois Mangin, Dominique Ha...
ICCV
2005
IEEE
16 years 7 months ago
A Maximum Entropy Framework for Part-Based Texture and Object Recognition
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
HPDC
1999
IEEE
15 years 10 months ago
The Cactus Computational Toolkit and using Distributed Computing to Collide Neutron Stars
We are developing a system for collaborative research and development for a distributed group of researchers at different institutions around the world. In a new paradigm for coll...
Gabrielle Allen, Tom Goodale, Joan Massó, E...
PDPTA
2003
15 years 7 months ago
Managing Flocking Objects with an Octree Spanning a Parallel Message-Passing Computer Cluster
We investigate the management of flocking mobile objects using a parallel message-passing computer cluster. An octree, a data structure well-known for use in managing a 3D space, ...
Thomas E. Portegys, Kevin M. Greenan
CLOR
2006
15 years 9 months ago
A Discriminative Framework for Texture and Object Recognition Using Local Image Features
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce