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» Implicit spatial inference with sparse local features
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VISUALIZATION
1998
IEEE
13 years 12 months ago
Extremal feature extraction from 3-D vector and noisy scalar fields
We are interested in feature extraction from volume data in terms of coherent surfaces and 3-D space curves. The input can be an inaccurate scalar or vector field, sampled densely...
Chi-Keung Tang, Gérard G. Medioni
PAMI
2011
13 years 2 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
SCALESPACE
2007
Springer
14 years 1 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
PIMRC
2008
IEEE
14 years 2 months ago
Self-organized spatial reuse scheduling in multihop cellular systems
Multihop cellular systems using fixed relay stations are the most promising candidate in the next generation of cellular systems. In order to maximize multihop transmission gains, ...
Chungha Koh, Kang Jin Yoon, Kyung-Ho Sohn, Suji Mo...
IJRR
2002
159views more  IJRR 2002»
13 years 7 months ago
Mapping Partially Observable Features from Multiple Uncertain Vantage Points
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...