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ALT
2003
Springer
15 years 9 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
BMCBI
2007
154views more  BMCBI 2007»
15 years 5 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
COMPGEOM
2009
ACM
16 years 3 days ago
Embedding rivers in polyhedral terrains
Data conflation is a major issue in GIS: spatial data obtained from different sources, using different acquisition techniques, needs to be combined into one single consistent d...
Marc J. van Kreveld, Rodrigo I. Silveira
ICCVW
1999
Springer
15 years 10 months ago
Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation
The prevailing efforts to study the standard formulation of motion and structure recovery have been recently focused on issues of sensitivity and and robustness of existing techn...
Jana Kosecka, Yi Ma, Shankar Sastry
CORR
2004
Springer
177views Education» more  CORR 2004»
15 years 5 months ago
Typestate Checking and Regular Graph Constraints
We introduce regular graph constraints and explore their decidability properties. The motivation for regular graph constraints is 1) type checking of changing types of objects in ...
Viktor Kuncak, Martin C. Rinard