This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
Many natural processes exhibit exponential decay and, consequently, computational scientists make extensive use of e−x in computer simulation experiments. While it is common to ...
The discrete wavelet Transform (DWT), as defined by the Image Compression Standard JPEG-2000, is one of the most time-consuming computations which cannot be efficiently executed o...
Abstract. In this paper we show an implementation of an algorithm to synthesize a place/transition Petri net (p/t-net) from a possibly infinite partial language, which is given by ...