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ACL
2008
13 years 10 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
ICS
2007
Tsinghua U.
14 years 2 months ago
Optimization of data prefetch helper threads with path-expression based statistical modeling
This paper investigates helper threads that improve performance by prefetching data on behalf of an application’s main thread. The focus is data prefetch helper threads that lac...
Tor M. Aamodt, Paul Chow
TVCG
2012
210views Hardware» more  TVCG 2012»
11 years 11 months ago
A 2D Flow Visualization User Study Using Explicit Flow Synthesis and Implicit Task Design
—This paper presents a 2D flow visualization user study that we conducted using new methodologies to increase the objectiveness. We evaluated grid-based variable-size arrows, eve...
Zhanping Liu, Shangshu Cai, J. Edward Swan II, Rob...
ICML
2007
IEEE
14 years 9 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
ICIAP
1997
ACM
14 years 22 days ago
Unsupervised Texture Segmentation Using Feature Distributions
This paper presents an unsupervised texture segmentation method, which uses distributions of local binary patterns and pattern contrasts for measuring the similarity of adjacent i...
Timo Ojala, Matti Pietikäinen