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CVPR
2010
IEEE
15 years 2 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
MICCAI
2009
Springer
15 years 11 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
EUROPAR
2007
Springer
15 years 10 months ago
A Structured Overlay for Multi-dimensional Range Queries
Abstract. We introduce SONAR, a structured overlay to store and retrieve objects addressed by multi-dimensional names (keys). The overlay has the shape of a multi-dimensional torus...
Thorsten Schütt, Florian Schintke, Alexander ...
SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
15 years 10 months ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...
EVOW
2006
Springer
15 years 8 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...