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» High-dimensional labeled data analysis with Gabriel graphs
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 11 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
14 years 1 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
PODC
2006
ACM
14 years 1 months ago
Optimal-stretch name-independent compact routing in doubling metrics
We consider the problem of name-independent routing in doubling metrics. A doubling metric is a metric space whose doubling dimension is a constant, where the doubling dimension o...
Goran Konjevod, Andréa W. Richa, Donglin Xi...
ITS
2004
Springer
130views Multimedia» more  ITS 2004»
14 years 25 days ago
Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration
Abstract. Intelligent tutoring systems are quite difficult and time intensive to develop. In this paper, we describe a method and set of software tools that ease the process of cog...
Kenneth R. Koedinger, Vincent Aleven, Neil T. Heff...
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 7 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye