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» Classification via semi-Riemannian spaces
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ICML
2003
IEEE
14 years 5 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
CHI
2006
ACM
14 years 5 months ago
Engaging with a situated display via picture messaging
We outline initial investigations into how choices of spatial configuration, input devices and display technologies influence action and interaction in hybrid electronic and physi...
Karen Martin, Alan Penn, Lesley Gavin
COLT
2010
Springer
13 years 2 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...
ICIP
2002
IEEE
14 years 6 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim
SIAMDM
2000
103views more  SIAMDM 2000»
13 years 4 months ago
Directional Routing via Generalized st-Numberings
We present a mathematical model for network routing based on generating paths in a consistent direction. Our development is based on an algebraic and geometric framework for defini...
Fred S. Annexstein, Kenneth A. Berman