222 search results - page 25 / 45 » Experiments with random projections for machine learning |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
ML
2006
ACM
13 years 7 months ago
2006
ACM
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
OTM
2004
Springer
14 years 26 days ago
2004
Springer
Currently, a number of distributed software systems development tools exist, but typically they are designed either to satisfy industrial standards – industrial perspective – o...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
AAAI
1993
13 years 8 months ago
1993
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...