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PAMI
2011
15 years 1 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
TOG
2010
87views more  TOG 2010»
15 years 1 months ago
Optimizing continuity in multiscale imagery
Multiscale imagery often combines several sources with differing appearance. For instance, Internet-based maps contain satellite and aerial photography. Zooming within these maps ...
Charles Han, Hugues Hoppe
AAAI
2011
14 years 6 months ago
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents
Planning agents often lack the computational resources needed to build full planning trees for their environments. Agent designers commonly overcome this finite-horizon approxima...
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
ICML
2009
IEEE
16 years 7 months ago
Learning kernels from indefinite similarities
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
Yihua Chen, Maya R. Gupta, Benjamin Recht
WETICE
1997
IEEE
15 years 11 months ago
Communication Visibility in Shared Virtual Worlds
Though the service of shared virtual worlds is an active area of research, little effort has been made to optimize such systems for urban world spaces. Tracking the motion, action...
Michael V. Capps, Seth J. Teller