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» Learning Models for Object Recognition
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121
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ICDAR
2007
IEEE
15 years 10 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
138
Voted
NAACL
2010
15 years 1 months ago
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
Kevin Gimpel, Noah A. Smith
138
Voted
MMS
2006
15 years 3 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
102
Voted
ACL
2009
15 years 1 months ago
Investigating Pitch Accent Recognition in Non-native Speech
Acquisition of prosody, in addition to vocabulary and grammar, is essential for language learners. However, it has received less attention in instruction. To enable automatic iden...
Gina-Anne Levow
137
Voted
ICALT
2008
IEEE
15 years 10 months ago
Learning Application Suite Creating and Playing SCORM Compatible Web and Computer Based Training
In the process of developing Web Based Training (WBT) applications, the Sharable Content Object Reference Model (SCORM) has become the most common eLearning standard making it pos...
Marco Nordmann, Jens Neumann