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ICONIP
2007
13 years 11 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
MM
2009
ACM
156views Multimedia» more  MM 2009»
14 years 4 months ago
Understanding near-duplicate videos: a user-centric approach
Popular content in video sharing web sites (e.g., YouTube) is usually duplicated. Most scholars define near-duplicate video clips (NDVC) based on non-semantic features (e.g., di...
Mauro Cherubini, Rodrigo de Oliveira, Nuria Oliver
FM
2006
Springer
153views Formal Methods» more  FM 2006»
14 years 1 months ago
Formal Methods and Cryptography
Security-critical systems are an important application area for formal methods. However, such systems often contain cryptographic subsystems. The natural definitions of these subsy...
Michael Backes, Birgit Pfitzmann, Michael Waidner
IADIS
2003
13 years 11 months ago
Scalability of Cooperative Algorithms for Distributed Architectures of Proxy Servers
Systems consisting of multiple proxy servers are a popular solution to deal with performance and network resource utilization problems related to the growth of the Web numbers. Af...
Riccardo Lancellotti, Francesca Mazzoni, Michele C...
EXPERT
2006
156views more  EXPERT 2006»
13 years 10 months ago
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
on abstract principles that you can't easily apply in a formal, deductive fashion. So, the favorite tools of logicians and mathematicians, such as firstorder logic, aren'...
Bruce M. McLaren