498 search results - page 23 / 100 » Learning structured prediction models: a large margin approa... |
CVPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
ILP
2003
Springer
14 years 1 months ago
2003
Springer
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
ESSMAC
2003
Springer
14 years 1 months ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
NIPS
2007
13 years 9 months ago
2007
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...