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» A comparative study of two object recognition methods
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CVPR
2006
IEEE
15 years 11 months ago
Multi-Resolution Spin-Images
Johnson and Hebert's spin-images have been applied to the registration of range images and object recognition with much success because they are rotation, scale, and pose inv...
H. Quynh Dinh, Steven Kropac
PRL
2007
125views more  PRL 2007»
14 years 9 months ago
Combining color and spatial information for object recognition across illumination changes
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...
Damien Muselet, Ludovic Macaire
CIARP
2006
Springer
15 years 1 months ago
Feature Selection Based on Mutual Correlation
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...
Michal Haindl, Petr Somol, Dimitrios Ververidis, C...
68
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NORDICHI
2004
ACM
15 years 3 months ago
Software usability: a comparison between two tree-structured data transformation languages
This paper presents the results of a software usability study, involving both subjective and objective evaluation. It compares a popular XML data transformation language (XSLT) an...
Nikita Schmidt, Corina Sas
ICASSP
2008
IEEE
15 years 4 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu