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CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 9 months ago
Hierarchical Bag of Paths for Kernel Based Shape Classification
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
François-Xavier Dupé, Luc Brun
ICPP
2009
IEEE
13 years 6 months ago
Mediacoop: Hierarchical Lookup for P2P-VoD Services
The random seeking in P2P-VoD system requires efficient lookup for "good" suppliers. The main challenge is that good suppliers should meet two requirements: "conten...
Tieying Zhang, Jianming Lv, Xueqi Cheng
CVPR
2012
IEEE
11 years 11 months ago
Learning hierarchical similarity metrics
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamani...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 3 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
PAMI
2008
197views more  PAMI 2008»
13 years 8 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...