In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
: A new approach to optimize multi-level logic circuits is introduced. Given a multi-level circuit, the synthesis method optimizes its area, simultaneously enhancing its random pat...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...
In single-particle reconstruction, a 3D structure is reconstructed from a large number of randomly oriented 2D projections, using techniques related to computed tomography. Unlike ...