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CORR
2010
Springer
320views Education» more  CORR 2010»
15 years 6 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
212
Voted
MICCAI
2009
Springer
16 years 7 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...
SIGMOD
2008
ACM
182views Database» more  SIGMOD 2008»
16 years 6 months ago
Angle-based space partitioning for efficient parallel skyline computation
Recently, skyline queries have attracted much attention in the database research community. Space partitioning techniques, such as recursive division of the data space, have been ...
Akrivi Vlachou, Christos Doulkeridis, Yannis Kotid...
DCC
2004
IEEE
16 years 6 months ago
Universal Coding of Function Spaces as a Model for Signal Compression
We address the problem of signal compression, basing on the mathematical model, in which a set of all possible signals is considered as a function space with a metric . The main a...
Boris Ryabko, Jaakko Astola
136
Voted
ALT
2008
Springer
16 years 3 months ago
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces
We give a bound on the expected reconstruction error for a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The result can...
Andreas Maurer, Massimiliano Pontil