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» The Feature Importance Ranking Measure
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ACL
2008
14 years 11 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
CGI
2004
IEEE
15 years 1 months ago
Feature-Sensitive 3D Shape Matching
Three dimensional shape matching plays an important role in many of today's applications. Nevertheless, shape matching is a difficult problem since there is no unique measure...
Andrei Sharf, Ariel Shamir
BMCBI
2007
135views more  BMCBI 2007»
14 years 9 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
HICSS
1998
IEEE
111views Biometrics» more  HICSS 1998»
15 years 2 months ago
Measuring Disagreement in Groups Facing Limited Choice Problems
Agreement is an important concept in group interaction, both for computermediated and face-to-face groups. This paper presents a measure of disagreement, D, for groups facing limi...
Brian Whitworth, Roy Felton
ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
15 years 2 months ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo