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» A comparative study of two object recognition methods
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140
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ECCV
2010
Springer
15 years 4 months ago
Adapting Visual Category Models to New Domains
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
159
Voted
IROS
2008
IEEE
230views Robotics» more  IROS 2008»
15 years 10 months ago
Visual recognition of grasps for human-to-robot mapping
— This paper presents a vision based method for grasp classification. It is developed as part of a Programming by Demonstration (PbD) system for which recognition of objects and...
Hedvig Kjellström, Javier Romero, Danica Krag...
131
Voted
WCE
2007
15 years 4 months ago
A Neural Network Approach to Objective Evaluation of Seam Pucker
—Seam pucker grade is one of the most important quality parameters in garments manufacturing industry. At present, seam pucker is usually evaluated by human inspectors, which is ...
K. L. Mak, Wei Li
134
Voted
CVIU
2004
114views more  CVIU 2004»
15 years 3 months ago
Illumination insensitive recognition using eigenspaces
Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper, we propose how to deal with illumination variations in eigenspace ...
Horst Bischof, Horst Wildenauer, Ales Leonardis
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Minimum Phoneme Error based Filter Bank Analysis for Speech Recognition
In this paper the optimal filter-bank design method based on the Minimum Phone Error (MPE) criteria is investigated. We use Gaussian type filter bank for optimization and variou...
Hao Huang, Jie Zhu