The rapid development of 3D digital technology has led to an increasing volume of 3D model data. In addressing the management of such large scale data, effective content-based 3Dmodel retrieval and recognition methods are highly desirable. In 3D model retrieval and recognition tasks, the distance measure between two 3Dmodels plays an important role. In this paper, we propose a novel 3D model re...

Boldness is the propensity of an animal to engage in risky behavior. Many variations of novel-object or novel-environment tests have been used to quantify the boldness of animals, although the relationship between test outcomes has rarely been investigated. Furthermore, the relationship of outcomes to any ecological aspect of fitness is generally assumed, rather than measured directly. Our stud...

One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and most similarity measures are based on certain distance measurement between these features. Given a distance metric, two images with shorter distance are deemed to more similar than images that are far away. The well-known...

The use of syntactic tree-distance as a surrogate for semantic distance in an answer retrieval task is investigated. The feasibility of this is confirmed by showing that retrieval performance increases with parse quality, and an application of this to parser evaluation is discussed. Variant definitions of tree-distance involving parameters such as whole vs sub-tree, node weighting, wild-card tr...

A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to represent and characterize an input image by a set of local descriptors extracted at characteristic points (i.e. keypoints) within the image. Then, dissimilarity measure between images is calculated based on the geometric distance between the t...

In this paper, we propose a new approach to content-based image retrieval that uses space transformation methods to transform the original low-level image space into a reduced dimension highlevel vector space that enables efficient query processing. Our retrieval system consists of two phases: database population and image retrieval. Our approach is generic as it can be applied to many other ap...

This paper describes our submission to the MIREX 2006 Audio Music Similarity and Retrieval task. The task was to submit an audio feature extraction algorithm, to compute music similarity measures and to return a distance matrix from an audio collection consisting of 5000 pieces, which was subsequently evaluated through human listening tests as well as objective statistics. We submitted a new im...