534 search results - page 46 / 107 » Data Separation by Sparse Representations |
VISUALIZATION
2000
IEEE
15 years 2 months ago
2000
IEEE
In this paper we propose a technique for visualizing steady flow. Using this technique, we first convert the vector field data into a scalar level-set representation. We then a...
PR
2010
14 years 8 months ago
2010
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
EGC
2005
Springer
15 years 3 months ago
2005
Springer
We are concerned with the following problem: How do we allow a community of users to access and process diverse data stored in many different formats? Standard data formats and da...
UAI
2004
14 years 11 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...