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» Metric and Kernel Learning Using a Linear Transformation
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IJCV
2000
223views more  IJCV 2000»
15 years 1 months ago
The Earth Mover's Distance as a Metric for Image Retrieval
We investigate the properties of a metric between two distributions, the Earth Mover's Distance (EMD), for content-based image retrieval. The EMD is based on the minimal cost ...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas
VVEIS
2008
15 years 3 months ago
The Linear Conditional Probability Matrix Generator for IT Governance Performance Prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT ...
Mårten Simonsson, Robert Lagerström, Po...
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 8 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
ICIP
2007
IEEE
15 years 8 months ago
A Novel Kernel Discriminant Analysis for Face Verification
In this paper a novel non-linear subspace method for face verification is proposed. The problem of face verification is considered as a two-class problem (genuine versus imposto...
Georgios Goudelis, Stefanos Zafeiriou, Anastasios ...
COLT
1998
Springer
15 years 6 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire