In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Diffusion tensor magnetic resonance imaging (DT-MRI) permits the noninvasive assessment of tissue microstructure and, with fibre-tracking algorithms, allows for the 3-D trajectorie...
We present a novel shadow map parameterization to reduce perspective aliasing artifacts for both point and directional light sources. We derive the aliasing error equations for bo...
Brandon Lloyd, Naga K. Govindaraju, Cory Quammen, ...
In this paper we describe an Extended Kalman Filter (EKF) algorithm for estimating the pose and velocity of a spacecraft during Entry, Descent and Landing (EDL). The proposed esti...
Nikolas Trawny, Anastasios I. Mourikis, Stergios I...