1454 search results - page 97 / 291 » On High Dimensional Skylines |
106
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ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
105
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COMPLIFE
2006
Springer
15 years 3 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
BMVC
2001
15 years 2 months ago
2001
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically s...
ESANN
2004
15 years 1 months ago
2004
In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessin...