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NIPS
1997
13 years 10 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
JMLR
2008
230views more  JMLR 2008»
13 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
ASIACRYPT
2009
Springer
14 years 3 months ago
Fiat-Shamir with Aborts: Applications to Lattice and Factoring-Based Signatures
We demonstrate how the framework that is used for creating efficient number-theoretic ID and signature schemes can be transferred into the setting of lattices. This results in cons...
Vadim Lyubashevsky
AINA
2007
IEEE
14 years 3 months ago
Synthetic Trace-Driven Simulation of Cache Memory
The widening gap between CPU and memory speed has made caches an integral feature of modern highperformance processors. The high degree of configurability of cache memory can requ...
Rahman Hassan, Antony Harris, Nigel P. Topham, Ari...
HYBRID
2007
Springer
14 years 3 months ago
Robust Test Generation and Coverage for Hybrid Systems
Abstract. Testing is an important tool for validation of the system design and its implementation. Model-based test generation allows to systematically ascertain whether the system...
A. Agung Julius, Georgios E. Fainekos, Madhukar An...