285 search results - page 40 / 57 » Illumination invariants based on Markov random fields |
173
click to vote
UAI
2004
15 years 7 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
194
click to vote
PAMI
2008
15 years 5 months ago
2008
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
177
click to vote
ICDAR
2007
IEEE
16 years 11 days ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
349
click to vote
SIGMOD
2011
ACM
14 years 9 months ago
2011
ACM
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
153
click to vote
CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...