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» A Random set Model for Fuzzy Labels
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COLING
2008
13 years 9 months ago
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
Roi Reichart, Ari Rappoport
EUROCRYPT
2005
Springer
14 years 1 months ago
Fuzzy Identity-Based Encryption
We introduce a new type of Identity-Based Encryption (IBE) scheme that we call Fuzzy Identity-Based Encryption. In Fuzzy IBE we view an identity as set of descriptive attributes. ...
Amit Sahai, Brent Waters
ISIPTA
2003
IEEE
120views Mathematics» more  ISIPTA 2003»
14 years 23 days ago
Reliability Analysis in Geotechnics with Finite Elements --- Comparison of Probabilistic, Stochastic and Fuzzy Set Methods
The finite element method is widely used for solving various problems in geotechnical engineering practice. The input parameters required for the calculations are generally impre...
Gerd M. Peschl, H. F. Schweiger
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
14 years 2 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...
JIFS
2008
155views more  JIFS 2008»
13 years 7 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...