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NIPS
2007
13 years 10 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
FDBS
2001
108views more  FDBS 2001»
13 years 10 months ago
Combining a Formal with an Example-driven Approach for Data Integration
Integrating data sources is a general problem in many scenarios. The main problem is the heterogeneity between data sources which were created and developed separately. In the lit...
Ingolf Geist, Kai-Uwe Sattler, Ingo Schmitt
BIOSYSTEMS
2007
123views more  BIOSYSTEMS 2007»
13 years 9 months ago
Real time computation: Zooming in on population codes
Information processing in nervous systems intricately combines computation at the neuronal and network levels. Many computations may be envisioned as sequences of signal processin...
Olivier Rochel, Netta Cohen
APIN
1999
114views more  APIN 1999»
13 years 8 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng
IJON
1998
163views more  IJON 1998»
13 years 8 months ago
Normalized Gaussian Radial Basis Function networks
: The performances of Normalised RBF (NRBF) nets and standard RBF nets are compared in simple classification and mapping problems. In Normalized RBF networks, the traditional roles...
Guido Bugmann