This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
The class of k Nearest Neighbor (kNN) queries in spatial networks is extensively studied in the context of numerous applications. In this paper, for the first time we study a gene...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
Abstract. This paper introduces a new tabu search algorithm for a twodimensional (2D) Strip Packing Problem (2D-SPP). It integrates several key features: A direct representation of...
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Abstract. A black box method was recently given that solves the problem of online approximate matching for a class of problems whose distance functions can be classified as being ...