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PRL
2007
200views more  PRL 2007»
9 years 3 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec
PRL
2007
100views more  PRL 2007»
9 years 3 months ago
Visible models for interactive pattern recognition
The bottleneck in interactive visual classification is the exchange of information between human and machine. We introduce the concept of the visible model, which is an ion of an ...
Jie Zou, George Nagy
PRL
2007
87views more  PRL 2007»
9 years 3 months ago
HMM-based on-line signature verification: Feature extraction and signature modeling
Julian Fiérrez-Aguilar, Javier Ortega-Garci...
PRL
2007
180views more  PRL 2007»
9 years 3 months ago
Symmetric hash functions for secure fingerprint biometric systems
Securing biometrics databases from being compromised is one of the most important challenges that must be overcome in order to demonstrate the viability of biometrics based authen...
Sergey Tulyakov, Faisal Farooq, Praveer Mansukhani...
PRL
2007
160views more  PRL 2007»
9 years 3 months ago
A 3D face and hand biometric system for robust user-friendly authentication
A complete authentication system based on fusion of 3D face and hand biometrics is presented and evaluated in this paper. The system relies on a low cost real-time sensor, which c...
Filareti Tsalakanidou, Sotiris Malassiotis, Michae...
PRL
2007
168views more  PRL 2007»
9 years 3 months ago
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
We used the datasets of the NIPS 2003 challenge on feature selection as part of the practical work of an undergraduate course on feature extraction. The students were provided wit...
Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A...
PRL
2007
147views more  PRL 2007»
9 years 3 months ago
Volume measure in 2DPCA-based face recognition
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
Jicheng Meng, Wenbin Zhang
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