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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 10 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
14 years 1 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
13 years 10 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»
12 years 8 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
14 years 1 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