440 search results - page 36 / 88 » Learning the structure of manifolds using random projections |
DMIN
2006
13 years 9 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
ICASSP
2011
IEEE
13 years 5 days ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
IDA
2009
Springer
14 years 3 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...