1245 search results - page 8 / 249 » Binary Sparse Coding |
JMLR
2012
12 years 2 days ago
2012
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
CORR
2002
Springer
13 years 9 months ago
2002
Springer
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
We have derived a new algorithm for dictionary learning for sparse coding in the ℓ1 exact sparse framework. The algorithm does not rely on an approximation residual to operate, b...