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IJCAI
2001
13 years 10 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
TIP
2008
125views more  TIP 2008»
13 years 8 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
CCGRID
2010
IEEE
13 years 10 months ago
A Capabilities-Aware Programming Model for Asymmetric High-End Systems
In this research, we investigate and address the challenges of asymmetry in High-End Computing (HEC) systems comprising heterogeneous architectures with varying I/O and computation...
M. Mustafa Rafique
CCGRID
2005
IEEE
14 years 2 months ago
Experiences with the KOALA co-allocating scheduler in multiclusters
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors and input files in multip...
Hashim H. Mohamed, Dick H. J. Epema
CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 8 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet