We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
This paper introduces a novel heuristic nmdmap method for path planning, one that is inspired by the Vomnoi diagmm concept, but easiZy applicable to geneml configurntion spaces. T...
S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, E...