In applications such as vision and molecular biology, a common problem is to find the similar objects to a given target (according to some distance measure) in a large database. T...
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
In content based retrieval, color indexing is one of the most prevalent retrieval methods. Two key problems in color indexing are (1) determination of the color space and (2) fin...
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Abstract. Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying import...
An application of relational case-based learning to the task of expressive music performance is presented. We briefly recapitulate the relational case-based learner DISTALL and em...
This paper proposes a method for automatic maintaining the similarity information for a particular class of Flexible Query Answering Systems (FQAS). The paper describes the three m...
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application. In this paper, we compare two commonly used dis...
Gang Qian, Shamik Sural, Yuelong Gu, Sakti Pramani...
In many classification and data-mining applications the user does not know a priori which distance measure is the most appropriate for the task at hand without examining the produ...