The traditional goal of computer vision, to reconstruct, or recover properties of, the scene has recently been challenged by advocates of a new purposive approach in which the vis...
Michael J. Black, Yiannis Aloimonos, Christopher M...
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
In this paper we propose a general approach for reasoning in space. The approach is composed of a set of two general constraints to govern the spatial relationships between object...
Researchers in the data mining area frequently have to spend significant portion of their time on preprocessing the data in order to apply their algorithms to real-world datasets...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
This paper presents a method for reasoning about spatial objects and their qualitative spatial relationships. In contrast to existing work, which mainly focusses on reasoning abou...