Hidden Conditional Random Fields

@article{citeulike:1696784, abstract = {We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time.}, author = {Quattoni, Ariadna and Wang, Sybor and Morency, Louis-Philippe and Collins, Morency and Darrell, Trevor }, booktitle = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, citeulike-article-id = {1696784}, doi = {10.1109/TPAMI.2007.1124}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {conditional\_random\_fields, image\_classification, learning}, number = {10}, pages = {1848--1852}, posted-at = {2007-09-26 11:00:26}, priority = {0}, title = {Hidden Conditional Random Fields}, url = {http://dx.doi.org/10.1109/TPAMI.2007.1124}, volume = {29}, year = {2007} }

TY - JOUR ID - citeulike:1696784 L3 - citeulike-article-id:1696784 TI - Hidden Conditional Random Fields T2 - Pattern Analysis and Machine Intelligence, IEEE Transactions on JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on VL - 29 IS - 10 SP - 1848 EP - 1852 N2 - We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time. KW - conditional_random_fields KW - image_classification KW - learning AU - Quattoni, Ariadna AU - Wang, Sybor AU - Morency, Louis-Philippe AU - Collins, Morency AU - Darrell, Trevor PY - 2007/// UR - http://dx.doi.org/10.1109/TPAMI.2007.1124 ER -