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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
TMI
2008
141views more  TMI 2008»
13 years 8 months ago
Fast Noise Reduction in Computed Tomography for Improved 3-D Visualization
Computed tomography (CT) has a trend towards higher resolution and higher noise. This development has increased the interest in anisotropic smoothing techniques for CT, which aim t...
Michiel Schaap, Arnold M. R. Schilham, Karel J. Zu...
DAC
2005
ACM
13 years 10 months ago
Sign bit reduction encoding for low power applications
This paper proposes a low power technique, called SBR (Sign Bit Reduction) which may reduce the switching activity in multipliers as well as data buses. Utilizing the multipliers ...
M. Saneei, Ali Afzali-Kusha, Zainalabedin Navabi
IJIS
2002
112views more  IJIS 2002»
13 years 8 months ago
Extended possibilistic truth values
In search of semantic richer and more flexible database modelling and database querying techniques, different approaches based on fuzzy set theory have been developed. Among the m...
Guy De Tré
VISSYM
2003
13 years 10 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...