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» The Robustness of Level Sets
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ISSS
1999
IEEE
87views Hardware» more  ISSS 1999»
15 years 10 months ago
Exploration and Synthesis of Dynamic Data Sets in Telecom Network Applications
We present a new exploration and optimization method to select customized implementations for dynamic data sets, as encountered in telecom network, database and multimedia applica...
Chantal Ykman-Couvreur, J. Lambrecht, Diederik Ver...
CP
2006
Springer
15 years 10 months ago
Generating Propagators for Finite Set Constraints
Ideally, programming propagators as implementations of constraints should be an entirely declarative specification process for a large class of constraints: a high-level declarativ...
Guido Tack, Christian Schulte, Gert Smolka
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
15 years 10 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
PAMI
2006
111views more  PAMI 2006»
15 years 6 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
ICPR
2004
IEEE
16 years 7 months ago
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
José Martínez Sotoca, José Sa...