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ICML
2010
IEEE
15 years 6 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
ICML
2010
IEEE
15 years 6 months ago
Clustering processes
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of co...
Daniil Ryabko
TEI
2010
ACM
100views Hardware» more  TEI 2010»
15 years 5 months ago
Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors
The use of a wrist-worn sensor that is able to read nearby RFID tags and the wearer's gestures has been suggested frequently as a way to both detect the objects we interact w...
Eugen Berlin, Jun Liu, Kristof Van Laerhoven, Bern...
ANOR
2010
125views more  ANOR 2010»
15 years 5 months ago
A Bayesian approach for the alignment of high-resolution NMR spectra
: The rapid progresses in human genome project and biotechnologies result in the sheer volume of datasets associated with in-depth scientific knowledge. Metabolomics is defined as ...
Seoung Bum Kim, Zhou Wang, Basavaraj Hiremath
CORR
2010
Springer
66views Education» more  CORR 2010»
15 years 5 months ago
Efficient Dealiased Convolutions without Padding
Algorithms are developed for calculating dealiased linear convolution sums without the expense of conventional zero-padding or phase-shift techniques. For one-dimensional in-place ...
John C. Bowman, Malcolm Roberts