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NIPS
2008
15 years 5 months ago
Online Prediction on Large Diameter Graphs
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Mark Herbster, Guy Lever, Massimiliano Pontil
ICML
2010
IEEE
15 years 5 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
ICIP
2007
IEEE
16 years 6 months ago
A Case-Based Reasoning Approach for Unknown Class Invoice Processing
This paper introduces an invoice analysis approach using CaseBased Reasoning (CBR). CBR is used to analyze and interpret new invoices thanks to the previous processing experiences...
Abdel Belaïd, Hatem Hamza, Yolande Belaï...
ECCV
2006
Springer
16 years 6 months ago
Fast, Quality, Segmentation of Large Volumes - Isoperimetric Distance Trees
For many medical segmentation tasks, the contrast along most of the boundary of the target object is high, allowing simple thresholding or region growing approaches to provide near...
Leo Grady
GG
2004
Springer
15 years 9 months ago
Towards Graph Programs for Graph Algorithms
Abstract. Graph programs as introduced by Habel and Plump [8] provide a simple yet computationally complete language for computing functions and relations on graphs. We extend this...
Detlef Plump, Sandra Steinert