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» A Framework for Structured Distributed Object Computing
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MICCAI
1998
Springer
15 years 4 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...
107
Voted
ICCV
2005
IEEE
16 years 2 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
154
Voted
HPDC
1999
IEEE
15 years 4 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...
93
Voted
PDPTA
2003
15 years 1 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
132
Voted
CLOR
2006
15 years 4 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