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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
EUROCRYPT
2010
Springer
15 years 4 months ago
Encryption Schemes Secure against Chosen-Ciphertext Selective Opening Attacks
Imagine many small devices send data to a single receiver, encrypted using the receiver’s public key. Assume an adversary that has the power to adaptively corrupt a subset of the...
Serge Fehr, Dennis Hofheinz, Eike Kiltz, Hoeteck W...
ESANN
2008
15 years 1 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
CRYPTO
2011
Springer
222views Cryptology» more  CRYPTO 2011»
13 years 11 months ago
The PHOTON Family of Lightweight Hash Functions
RFID security is currently one of the major challenges cryptography has to face, often solved by protocols assuming that an on-tag hash function is available. In this article we pr...
Jian Guo 0001, Thomas Peyrin, Axel Poschmann
ICSE
2003
IEEE-ACM
15 years 4 months ago
A Tutorial on Feature Oriented Programming and Product-Lines
ct Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. The goal is to specify a target program in terms of the features that it offers, and ...
Don S. Batory