334 search results - page 1 / 67 » On Shift-Invariant Sparse Coding |
NIPS
1998
13 years 6 months ago
1998
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...