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ICCV
2011
IEEE
14 years 1 months ago
Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video
Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
John See, Chikkannan Eswaran
ICCV
2003
IEEE
16 years 3 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 2 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
ISBI
2011
IEEE
14 years 5 months ago
Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure:
Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor image...
Ming-Chang Chiang, Marina Barysheva, Katie McMahon...
RECOMB
2002
Springer
16 years 2 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller