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CVPR
2005
IEEE
16 years 8 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
CVPR
2005
IEEE
16 years 8 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
16 years 1 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
EDOC
2007
IEEE
16 years 26 days ago
Modeling and Integrating Aspects into Component Architectures
Dependable software systems are difficult to develop because developers must understand and address several interdependent and pervasive dependability concerns. Features that addr...
Lydia Michotte, Robert B. France, Franck Fleurey
ASE
2011
15 years 1 months ago
Compositional model checking of software product lines using variation point obligations
This paper introduces a technique for incremental and compositional model checking that allows efficient reuse of model-checking results associated with the features in a product l...
Jing Liu, Samik Basu, Robyn R. Lutz