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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 10 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
IJSI
2008
156views more  IJSI 2008»
15 years 5 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
150
Voted
PR
2006
77views more  PR 2006»
15 years 5 months ago
Preserving boundaries for image texture segmentation using grey level co-occurring probabilities
Texture analysis has been used extensively in the computer-assisted interpretation of digital imagery. A popular texture feature extraction approach is the grey level co-occurrenc...
Rishi Jobanputra, David A. Clausi
IH
2007
Springer
15 years 11 months ago
Soft Feature-Based Watermark Decoding with Insertion/Deletion Correction
Abstract. Hard decisions constitute the major problem in digital watermarking applications, especially when content adaptive embedding methods are used. Soft-decision decoding, on ...
Mathias Schlauweg, Dima Pröfrock, Erika M&uum...
IJDAR
2006
131views more  IJDAR 2006»
15 years 5 months ago
Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition
This paper presents a genetic programming based approach for optimizing the feature extraction step of a handwritten character recognizer. This recognizer uses a simple multilayer ...
Christian Gagné, Marc Parizeau