2478 search results - page 40 / 496 » Universality in two dimensions |
121
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TIP
2010
14 years 5 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
ICPP
1999
IEEE
15 years 3 months ago
1999
IEEE
The vector-clock size necessary to characterize causality in a distributed computation is bounded by the dimension of the partial order induced by that computation. In an arbitrar...
125
Voted
COLT
1993
Springer
15 years 3 months ago
1993
Springer
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
103
Voted
KDD
2004
ACM
15 years 11 months ago
2004
ACM
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
108
Voted
CGF
2011
14 years 2 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...