: Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data.
: Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data.
: Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data.
: A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance
: A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance.
: Kernel conditional random fields: representation and clique selection.
: Sparse higher order conditional random fields for improved sequence labeling.
: Piecewise pseudolikelihood for efficient training of conditional random fields.
: A hierarchical conditional random field model for labeling and segmenting images of street scenes.
: Quadratic programming relaxations for metric labeling and Markov random field MAP estimation.
(search: 0.164 sec. - facets: 0.598 sec.- similarity: 0.82 sec)