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ACL
2010
14 years 9 months ago
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
Partha Pratim Talukdar, Fernando Pereira
ISWC
2006
IEEE
15 years 5 months ago
Towards Less Supervision in Activity Recognition from Wearable Sensors
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
Tâm Huynh, Bernt Schiele
ICIP
2004
IEEE
16 years 1 months ago
Data hiding in curves for collusion-resistant digital fingerprinting
* This paper presents a new data hiding method for curves. The proposed algorithm parameterizes a curve using the B-spline model and adds a spread spectrum sequence in the coordina...
Hongmei Gou, Min Wu
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
15 years 6 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
AUSAI
2003
Springer
15 years 5 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra