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177
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ICASSP
2011
IEEE
14 years 7 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
15 years 8 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...
114
Voted
ACL
2006
15 years 5 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
16 years 5 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
118
Voted
IROS
2009
IEEE
120views Robotics» more  IROS 2009»
15 years 10 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