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» On randomized representations of graphs using short labels
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ISDA
2008
IEEE
16 years 1 months ago
Improving VG-RAM WNN Multi-label Text Categorization via Label Correlation
In multi-label text databases one or more labels, or categories, can be assigned to a single document. In many such databases there can be correlation on the assignment of subsets...
Alberto Ferreira de Souza, Claudine Badue, Bruno Z...
INFOCOM
2006
IEEE
16 years 18 days ago
Designing Low Cost Networks with Short Routes and Low Congestion
— We design network topologies and routing strategies which optimize several measures simultaneously: low cost, small routing diameter , bounded degree and low congestion. This s...
Van Nguyen, Charles U. Martel
CVPR
2008
IEEE
16 years 8 months ago
Graph commute times for image representation
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...
Nikos Paragios, Regis Behmo, Véronique Prin...
ICML
2003
IEEE
16 years 7 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
TSP
2010
15 years 1 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat