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ICASSP
2011
IEEE
12 years 11 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
ICPR
2000
IEEE
13 years 11 months ago
Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
Qing Wang, Rongchun Zhao, Zheru Chi, David Dagan F...
ACL
2006
13 years 8 months ago
Training Conditional Random Fields with Multivariate Evaluation Measures
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
Jun Suzuki, Erik McDermott, Hideki Isozaki
ICIP
2003
IEEE
14 years 9 months ago
Gradient field distributions for the registration of images
This paper introduces a new method to register images that are rotated and translated with respect to each other. The method works by transforming each image to a gradient distrib...
Joshua Gluckman
IROS
2009
IEEE
120views Robotics» more  IROS 2009»
14 years 2 months ago
On the issue of camera calibration with narrow angular field of view
— This paper considers the issue of calibrating a camera with narrow angular field of view using standard, perspective methods in computer vision. In doing so, the significance...
Klaus H. Strobl, Wolfgang Sepp, Gerd Hirzinger