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ESANN
2004
13 years 9 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
ICPR
2006
IEEE
14 years 8 months ago
A Convolution Edit Kernel for Error-tolerant Graph Matching
General graph matching methods often suffer from the lack of mathematical structure in the space of graphs. Using kernel functions to evaluate structural graph similarity allows u...
Horst Bunke, Michel Neuhaus
CIARP
2006
Springer
13 years 9 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
CIKM
2009
Springer
14 years 8 days ago
Probabilistic skyline queries
The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented ...
Christian Böhm, Frank Fiedler, Annahita Oswal...
EUROCRYPT
2010
Springer
14 years 13 days ago
Fully Secure Functional Encryption: Attribute-Based Encryption and (Hierarchical) Inner Product Encryption
In this paper, we present two fully secure functional encryption schemes. Our first result is a fully secure attribute-based encryption (ABE) scheme. Previous constructions of AB...
Allison B. Lewko, Tatsuaki Okamoto, Amit Sahai, Ka...