In this paper, a modified version of the FCM algorithm is presented to deal with clusters with totally different geometrical properties. The proposed algorithm adopts a novel non-metric distance measure based on the idea of "point symmetry". Experimental results on several data sets are presented to illustrate its effectiveness.

In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is certainly one of the most known among these algorithms. In robust-FCM, noise is modeled as a separate cluster and is characterized by a prototype that has a constant distance δ from all data points. Distance δ determin...

In this chapter we address the problem of reconstructing the surface geometry, topology, and color map of a 3D scene from a finite set of colored oriented points. These data sets are nowadays obtained using a variety of techniques, including multi-view stereo reconstruction methods from multiple 2D images. We describe a novel variational method which reduces the problem to the solutions of spar...

We report an accurate distance of d = 10 ± 2.5 kpc to the high-velocity cloud Complex C. Using high signal-to-noise Keck/HIRES spectra of two horizontal-branch stars, we have detected Ca II K absorption lines from the cloud. Significant non-detections towards a further 3 stars yield robust lower distance limits.

The Banach-Mazur distance between l2 ® l2 and l2 ® l2 is shown to be of the order Vmin(«,m) . Our proof yields that the distance between the trace classes c¡¡ and c¡¡ is of the same order as d(l£, l£). In this note we determine the distances between some tensor products of Euclidean spaces l2, k = 1, 2 ... . Let E, F be finite dimensional Banach spaces over the real field. The Banach-Mazur dist...

Productivity is becoming increasingly important in high performance computing. Parallel systems, as well as the problems they are being used to solve, are becoming dramatically larger and more complicated. Traditional approaches to programming for these systems, such as MPI, are being regarded as too tedious and too tied to particular machines. Languages such as Unified Parallel C attempt to si...

This paper describes the design of a synchronous World Wide Web-based distance education environment developed at the Telematics Laboratory of Computer Engineer and Informatics Department (CEID) and Computer Technology Institute (Greece); the environment uses telematics services to conduct lessons over computer networks, simulating a traditional classroom environment with the live presence of a...

An important element in weed control using machine vision is the ability to identify plant species based on shape. For this to be done, it is often necessary to segment the plants from the soil. This may cause problems, if the colour of a plant is not consistent, since plants are then at risk of being separated into several objects. This study presents a plant segmentation method based on fuzzy...