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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
13 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
BIOCOMP
2010
13 years 2 months ago
A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images
- We present a novel hierarchical modular decision engine for lung nodule detection from CT images implemented by Artificial Neural Networks. The proposed Computer Aided Detection ...
Ömer M. Soysal, Jianhua Chen, Steven Bujenovi...
ICDAR
2003
IEEE
13 years 10 months ago
Multi-Expert Verification of Hand-Written Signatures
This paper presents a multi-expert system for dynamic signature verification. The system uses a stroke-oriented description of signatures well-suited for multi-expert approach. Ea...
L. Bovino, Sebastiano Impedovo, Giuseppe Pirlo, L....
ISCI
2002
120views more  ISCI 2002»
13 years 4 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
ICIP
2002
IEEE
14 years 6 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim