1411 search results - page 33 / 283 » Discriminative Random Fields |
141
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
89
Voted
CEC
2005
IEEE
15 years 8 months ago
2005
IEEE
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
112
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
111
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
152
Voted
NIPS
2004
15 years 4 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...