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CVPR
2001
IEEE
16 years 1 days ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
OAS
2003
14 years 11 months ago
A UML ontology and derived content language for a travel booking scenario
This paper illustrates an approach to combining the benefits of a multi-agent system architecture with the use of industry-standard modelling techniques using the Unified Modeli...
Stephen Cranefield, Jin Pan, Martin K. Purvis
ACCV
2010
Springer
14 years 11 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
DATE
2006
IEEE
135views Hardware» more  DATE 2006»
15 years 4 months ago
FPGA architecture characterization for system level performance analysis
We present a modular and scalable approach for automatically extracting actual performance information from a set of FPGA-based architecture topologies. This information is used d...
Douglas Densmore, Adam Donlin, Alberto L. Sangiova...
IPPS
1998
IEEE
15 years 2 months ago
Processor Lower Bound Formulas for Array Computations and Parametric Diophantine Systems
Using a directed acyclic graph (dag) model of algorithms, we solve a problem related to precedenceconstrained multiprocessor schedules for array computations: Given a sequence of ...
Peter R. Cappello, Ömer Egecioglu