534 search results - page 58 / 107 » Data Separation by Sparse Representations |
NN
2000
Springer
13 years 10 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
NIPS
2008
13 years 11 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
JMM2
2006
13 years 10 months ago
2006
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
DAWAK
2003
Springer
14 years 3 months ago
2003
Springer
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
VMV
2000
13 years 11 months ago
2000
Subdivision schemes are commonly used to obtain dense or smooth data representations from sparse discrete data. E. g., B-splines are smooth curves or surfaces that can be construc...