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CVPR
1998
IEEE
16 years 8 months ago
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Sri...
ANNPR
2008
Springer
15 years 7 months ago
Multi-class Vehicle Type Recognition System
This paper presents a framework for multiclass vehicle type (Make and Model) identification based on oriented contour points. A method to construct a model from several frontal ve...
Xavier Clady, Pablo Negri, Maurice Milgram, Raphae...
ICPR
2008
IEEE
16 years 17 days ago
Support Vector Data Description for image categorization from Internet images
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
Xiaodong Yu, Daniel DeMenthon, David S. Doermann
TITS
2010
220views Education» more  TITS 2010»
15 years 25 days ago
Vehicle Logo Recognition Using a SIFT-Based Enhanced Matching Scheme
Abstract--In this paper, a new algorithm for vehicle logo recognition on the basis of an enhanced scale-invariant feature transform (SIFT)-based feature-matching scheme is proposed...
Apostolos P. Psyllos, Christos-Nikolaos Anagnostop...
AHS
2006
IEEE
142views Hardware» more  AHS 2006»
16 years 6 days ago
On-Chip Evolution Using a Soft Processor Core Applied to Image Recognition
To increase the flexibility of single-chip evolvable hardware systems, we explore possibilities of systems with the evolutionary algorithm implemented in software on an onchip pr...
Kyrre Glette, Jim Torresen, Moritoshi Yasunaga, Yo...