We present a multiple object tracking framework that employs two common methods for tracking and image matching, namely, Multiple Hypothesis Tracking (MHT) and Hausdorff image matching. We use MHT algorithm to track image edges simultaneously. MHT algorithm is capable of tracking multiple edges with limited occlusions and is suitable for resolving any data association uncertainty caused by back...

This paper presents a method for object matching that uses local graphs called keygraphs instead of simple keypoints. A novel method to compare keygraphs was proposed in order to exploit their local structural information, producing better local matches. This speeds up an object matching pipeline, particularly using RANSAC, because each keygraph match contains enough information to produce a po...

Typographical data entry errors and incomplete documents, produce imperfect records in real world databases. These errors generate distinct records which belong to the same entity. The aim of Approximate Record Matching is to find multiple records which belong to an entity. In this paper, an algorithm for Approximate Record Matching is proposed that can be adapted automatically with input error...

typographical data entry errors and incomplete documents, produce imperfect records in real world databases. these errors generate distinct records which belong to the same entity. the aim of approximate record matching is to find multiple records which belong to an entity. in this paper, an algorithm for approximate record matching is proposed that can be adapted automatically with input error...

In this paper, we explore theoretical models for pose estimation and object matching based on Markov random elds (MRFs) and the maximum a posteriori (MAP) probability principle. The set of pose estimates as well as matching estimates are considered to be MRFs whose prior distributions are used as the prior constraints. The MAP solution is found from these distributions and an assumed observatio...

Lesions of parahippocampal structures impair performance of delayed matching tasks in nonhuman primates, suggesting a role for these structures in the maintenance of items in working memory and short-term stimulus matching. However, most human functional imaging studies have not shown medial temporal activation during working memory tasks and have primarily focused on functional magnetic resona...

This paper presents two systems for textual entailment, both employing decision trees as a supervised learning algorithm. The first one is based primarily on the concept of lexical overlap, considering a bag of words similarity overlap measure to form a mapping of terms in the hypothesis to the source text. The second system is a lexicosemantic matching between the text and the hypothesis that ...