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ICCV
2007
IEEE
14 years 12 months ago
DynamicBoost: Boosting Time Series Generated by Dynamical Systems
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
René Vidal, Paolo Favaro
CVPR
2009
IEEE
15 years 5 months ago
View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems
In this paper, we consider the problem of categorizing videos of dynamic textures under varying view-point. We propose to model each video with a collection of Linear Dynamics S...
Avinash Ravichandran, René Vidal, Rizwan Ch...
SMA
2003
ACM
138views Solid Modeling» more  SMA 2003»
14 years 3 months ago
Associativity between feature models across domains
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
S. Subramani, Balan Gurumoorthy
MLDM
2007
Springer
14 years 4 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
ICDAR
2009
IEEE
13 years 7 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An