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» A Fast Skeletonization Method
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117
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EMNLP
2010
15 years 18 days ago
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC
A word in one language can be translated to zero, one, or several words in other languages. Using word fertility features has been shown to be useful in building word alignment mo...
Shaojun Zhao, Daniel Gildea
ICIP
2010
IEEE
15 years 16 days ago
Fast and robust active contours for image segmentation
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
116
Voted
NAACL
2010
15 years 14 days ago
Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription
Deploying an automatic speech recognition system with reasonable performance requires expensive and time-consuming in-domain transcription. Previous work demonstrated that non-pro...
Scott Novotney, Chris Callison-Burch
113
Voted
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 9 months ago
Fast and Faster: A Comparison of Two Streamed Matrix Decomposition Algorithms
With the explosion of the size of digital dataset, the limiting factor for decomposition algorithms is the number of passes over the input, as the input is often stored out-of-cor...
Radim Rehurek
JMLR
2010
149views more  JMLR 2010»
14 years 9 months ago
Fast Committee-Based Structure Learning
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Ernest Mwebaze, John A. Quinn