Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
Network protocol performance and evaluation study is often carried out using a couple of widely used simulation toolkits, such as ns-2 and OPNET. These toolkits usually contain ma...
Distributing scarce resources among agents in a way that maximizes the social welfare of the group is a computationally hard problem when the value of a resource bundle is not lin...
We propose a general approach to the reconstruction of brain white matter geometry from diffusion-weighted data. This approach is based on an inverse problem framework. The optimal...
Yann Cointepas, Cyril Poupon, Denis Le Bihan, Jean...
We develop an algorithm for brain connectivity assessment using geodesics in HARDI (high angular resolution diusion imaging). We propose to recast the problem of nding bers bundles...