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» Feature selection for real-time image matching systems
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BMVC
1998
15 years 7 months ago
Choosing an Optimal Neural Network Size to aid a Search Through a Large Image Database
In this paper a fast method of selecting a neural network architecture for pattern recognition tasks is presented. We demonstrate that our proposed method of selecting both input ...
Kieron Messer, Josef Kittler
TSMC
2010
15 years 27 days ago
Toward Unconstrained Ear Recognition From Two-Dimensional Images
Abstract--Ear recognition, as a biometric, has several advantages. In particular, ears can be measured remotely and are also relatively static in size and structure for each indivi...
John D. Bustard, Mark S. Nixon
WACV
2007
IEEE
16 years 14 days ago
Feature-based Part Retrieval for Interactive 3D Reassembly
We propose a novel framework for 3D reassembly, the task of assembling a solid object from its broken pieces. The primary challenge in this under-explored problem is to robustly e...
Devi Parikh, Rahul Sukthankar, Tsuhan Chen, Mei Ch...
AVSS
2007
IEEE
16 years 17 days ago
Classifying and tracking multiple persons for proactive surveillance of mass transport systems
We describe a pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. The features sele...
Suyu Kong, Conrad Sanderson, Brian C. Lovell
ICASSP
2011
IEEE
14 years 10 months ago
Language-independent constrained cepstral features for speaker recognition
Constrained cepstral systems, which select frames to match various linguistic “constraints” in enrollment and test, have shown significant improvements for speaker verificatio...
Elizabeth Shriberg, Andreas Stolcke