Literature DB >> 17699927

Hidden conditional random fields.

Ariadna Quattoni1, Sybor Wang, Louis-Philippe Morency, Michael Collins, Trevor Darrell.   

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.

Mesh：

Year:  2007        PMID： 17699927     DOI： 10.1109/TPAMI.2007.1124

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN： 0098-5589            Impact factor:   6.226


  10 in total

1.  Discriminative latent models for recognizing contextual group activities.

Authors:  Tian Lan; Yang Wang; Weilong Yang; Stephen N Robinovitch; Greg Mori
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2012-08       Impact factor: 6.226

2.  Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder.

Authors:  Yue Gu; Xinyu Li; Kaixiang Huang; Shiyu Fu; Kangning Yang; Shuhong Chen; Moliang Zhou; Ivan Marsic
Journal:  Proc ACM Int Conf Multimed       Date:  2018-10

3.  Graphical-model framework for automated annotation of cell identities in dense cellular images.

Authors:  Shivesh Chaudhary; Sol Ah Lee; Yueyi Li; Dhaval S Patel; Hang Lu
Journal:  Elife       Date:  2021-02-24       Impact factor: 8.140

4.  Protein subcellular location pattern classification in cellular images using latent discriminative models.

Authors:  Jieyue Li; Liang Xiong; Jeff Schneider; Robert F Murphy
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

5.  Multi-attention Recurrent Network for Human Communication Comprehension.

Authors:  Amir Zadeh; Paul Pu Liang; Soujanya Poria; Prateek Vij; Erik Cambria; Louis-Philippe Morency
Journal:  Proc Conf AAAI Artif Intell       Date:  2018-02

6.  Jointly Learning Multiple Sequential Dynamics for Human Action Recognition.

Authors:  An-An Liu; Yu-Ting Su; Wei-Zhi Nie; Zhao-Xuan Yang
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

7.  A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition.

Authors:  Muhammad Hameed Siddiqi; Md Golam Rabiul Alam; Choong Seon Hong; Adil Mehmood Khan; Hyunseung Choo
Journal:  PLoS One       Date:  2016-09-16       Impact factor: 3.240

8.  Human Activity Recognition Using Gaussian Mixture Hidden Conditional Random Fields.

Authors:  Muhammad Hameed Siddiqi; Madallah Alruwaili; Amjad Ali; Saad Alanazi; Furkh Zeshan
Journal:  Comput Intell Neurosci       Date:  2019-08-18

9.  How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules.

Authors:  Dalia Fahmy; Heba Kandil; Adel Khelifi; Maha Yaghi; Mohammed Ghazal; Ahmed Sharafeldeen; Ali Mahmoud; Ayman El-Baz
Journal:  Cancers (Basel)       Date:  2022-04-06       Impact factor: 6.639

10.  PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data.

Authors:  Maulik R Kamdar; Mark A Musen
Journal:  Proc Int World Wide Web Conf       Date:  2017-04
  10 in total

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