In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action s...
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
— In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identi...
—Video enhancement has played very important roles in many applications. However, most existing enhancement methods only focus on the spatial quality within a frame while the tem...
Jun Xie, Weiyao Lin, Hongxiang Li, Ning Xu, Hongyu...
— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...
This paper reports the results of a multi-agent simulation designed to study the emergence and evolution of symbolic communication. The novelty of this model is that it considers s...
bstraction and Mapping with Spatial Constraints ? Rama Bindiganavale and Norman I. Badler Computer and Information Science Department University of Pennsylvania, PA 19104-6389, USA...
Abstract. Given two datasets DA and DB the closest-pair query (CPQ) retrieves the pair (a,b), where a ∈ DA and b ∈ DB, having the smallest distance between all pairs of objects...
Apostolos N. Papadopoulos, Alexandros Nanopoulos, ...
A composite multimedia object (cmo) is comprised of different media components such as text, video, audio and image, with a variety of constraints that must be adhered to. The con...
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...