119 search results - page 6 / 24 » Regression-based latent factor models |
CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
71
Voted
WWW
2004
ACM
15 years 10 months ago
2004
ACM
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
64
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
62
Voted
IJHCI
2010
14 years 8 months ago
2010
Motivation – Designers make decisions that later influence how users work with the systems that they have designed. When errors occur in use, it is tempting to focus on the acti...
SPEECH
1998
14 years 9 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...