Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
In this paper we suggest a new approach for recovering 3-D depth from a field of surface normals. The surface normals are extracted from Synthetic Aperture Radar (SAR) images usin...
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...
Refaat M. Mohamed, Abdelrehim H. Ahmed, Ahmed Eid,...
This paper addresses the problem of calibrating a pin-hole camera from images of 1D objects. Assuming a unit aspect ratio and zero skew, we introduce a novel and simple approach t...
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...