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NIPS
2004
13 years 10 months ago
Conditional Random Fields for Object Recognition
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
Ariadna Quattoni, Michael Collins, Trevor Darrell
NIPS
2007
13 years 10 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
ACL
2006
13 years 10 months ago
Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
This paper presents techniques to apply semi-CRFs to Named Entity Recognition tasks with a tractable computational cost. Our framework can handle an NER task that has long named e...
Daisuke Okanohara, Yusuke Miyao, Yoshimasa Tsuruok...
ICDAR
2009
IEEE
13 years 6 months ago
Online Handwritten Japanese Character String Recognition Using Conditional Random Fields
This paper describes an online handwritten Japanese character string recognition system based on conditional random fields, which integrates the information of character recogniti...
Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa
JCB
2006
215views more  JCB 2006»
13 years 8 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...