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MLDM
2005
Springer
13 years 10 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz
ISBI
2008
IEEE
14 years 6 months ago
Fast no ground truth image registration accuracy evaluation: Comparison of bootstrap and Hessian approaches
Image registration algorithms provide a displacement field between two images. We consider the problem of estimating accuracy of the calculated displacement field from the input i...
Jan Kybic
FLAIRS
2007
13 years 7 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli
SPIESR
2004
118views Database» more  SPIESR 2004»
13 years 6 months ago
New method for visual descriptor evaluation
Evaluation in visual information retrieval is usually performed by executing test queries and calculating recall and precision based on predefined media collections and ground tru...
Horst Eidenberger
ICPR
2002
IEEE
13 years 10 months ago
Uniformity Testing Using Minimal Spanning Tree
Testing for uniformity of multivariate data is the initial step in exploratory pattern analysis. We propose a new uniformity testing method, which first computes the maximum (sta...
Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao