110 search results - page 5 / 22 » Figure-ground segmentation using a hierarchical conditional ... |
ICML
2004
IEEE
15 years 10 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...
ICMCS
2007
IEEE
15 years 3 months ago
2007
IEEE
Automatic segmentation and classification of recorded meetings provides a basis towards understanding the content of a meeting. It enables effective browsing and querying in a me...
CVBIA
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
EMNLP
2006
14 years 11 months ago
2006
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...