We proposed a new method to select distinctive features for 3D shape. This approach combines the techniques of neighborhood preserved dimensionality reduction algorithm with clustering method. Based on experimental result, it turns out that the proposed method has better distinctive feature retrieval performance in low dimensional mapping. Using our method, we achieved a reasonably accuracy in ...

The thesis of this paper is the identification of Telematics as a distinctive discipline, a discipline that shares a lot with Computer Science and with Electrical Engineering, but whose body of knowledge deserves being identified as such, since it is today already big enough and is expected to grow even more in future. We begin with the historical background of Telematics, continuing with a des...

While these two claims are not contradictory, this paper provides an account of the abundance of natural classes without recourse to innate features. Evidence is provided in Section 3 from a simulation of class emergence which is based on readily-observable aspects of phonetic similarity, provided in turn by a phonetic similarity metric detailed in Section 2. One way to examine the claim that c...

DAVID A. KVANCZ, M.S., B.S.PHARM., FASHP, is Chief Pharmacy Officer, Department of Pharmacy, The Cleveland Clinic Foundation, 9500 Euclid Avenue, Mail Code Hb3, Cleveland, OH 44195 ([email protected]). Presented in connection with Mr. Kvancz’s designation as the 21st John W. Webb Visiting Professor at the School of Pharmacy, Bouvé College of Health Sciences, Northeastern University, Boston, MA, O...

Cockpit karst landscapes are among the most distinctive landscapes in the world, and have been the focus of long-standing scientific interest. Early researchers used largely descriptive techniques to categorize the terrain, and subsequent work has not attempted to critically re-evaluate descriptions of landscapes using more sophisticated methods. The distinctive surface topography of cockpit ka...

We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinctions between similar classes, combined with tolerance for distortions and missing information. We define and compare two general approaches, both based on maximizing the delivered information for recognition: one divides the problem into multiple binary classificat...

Detecting and characterizing emerging topics of discussion and consumer trends through analysis of Internet data is of great interest to businesses. This paper considers the problem of monitoring the Web to spot emerging memes – distinctive phrases which act as “tracers” for topics – as a means of early detection of new topics and trends. We present a novel methodology for predicting which meme...

Pictures are considered as a standout amongst the most imperative medium of passing on information. Understanding pictures and separating the data from them such that the data can be utilized for different undertakings is a critical part of Machine learning. Picture division is the methodology of separating the given picture into districts in light of a few properties. The grouping alludes to m...