In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
Abstract. We describe a tool that applies theorem proving technology to synthesize code fragments that use given library functions. To determine candidate code fragments, our appro...
Most available remote eye gaze trackers based on Pupil Center Corneal Reflection (PCCR) technique have two characteristics that prevent them from being widely used as an important...
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...