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ICPR
2004
IEEE
16 years 5 months ago
Pose Clustering Guided by Short Interpretation Trees
It is common in object recognition algorithms based on viewpoint consistency to find object poses that align many of the object features with features extracted from a search imag...
Clark F. Olson
COMGEO
2002
ACM
15 years 4 months ago
Combinatorial curve reconstruction in Hilbert spaces: A new sampling theory and an old result revisited
The goals of this paper are twofold. The first is to present a new sampling theory for curves, based on a new notion of local feature size. The properties of this new feature size...
Daniel Freedman
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
CVPR
2010
IEEE
16 years 21 days ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
ICMLA
2008
15 years 6 months ago
Farthest Centroids Divisive Clustering
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
Haw-ren Fang, Yousef Saad