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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 6 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
BROADNETS
2007
IEEE
16 years 7 days ago
Optimizing dimensionality and accelerating landmark positioning for coordinates based RTT predictions
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
Dragan Milic, Torsten Braun
PRL
2008
135views more  PRL 2008»
15 years 5 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
ICPR
2002
IEEE
16 years 7 months ago
Spatial Color Component Matching of Images
Color and color neighborhood statistics have been used extensively in image matching and retrieval. However, the effective incorporation of color layout information remains a chal...
Jianying Hu, Efstathios Hadjidemetriou
ICDAR
2003
IEEE
15 years 11 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies