Data-driven fMRI analysis techniques include independent component analysis (ICA) and different types of clustering in the temporal domain. Since each of these methods has its particular strengths, it is natural to look for an approach that unifies Kohonen's self-organizing map and ICA. This is given by the topographic independent component analysis. While achieved by a slight modification of t...

It is an indispensable prerequisite for the establishment of geographic information database to convert all kinds of digital topographic map data to Geographical Information Systems (GIS) requirements. This paper introduces the significance and purpose of realizing the rapid conversion of CAD data to GIS data, and discusses the technical ideas of the conversion process. By using the computer-ai...

The formation of topographic neural maps relies on the coordinate assignment of neuronal cell body position and axonal trajectory. The projection of motor neurons of the lateral motor column (LMC) along the dorsoventral axis of the limb mesenchyme constitutes a simple topographic map that is organized in a binary manner. We show that LIM homeodomain proteins establish motor neuron topography by...

In 3D object detection and recognition, the object of interest in an image is subject to changes in view-point as well as illumination. It is benifit for the detection and recognition if a representation can be derived to account for view and illumination changes in an effective and meaningful way. In this paper, we propose a method for learning such a representation from a set of un-labeled im...

This paper presents a method for the extraction of high level compound forest cover information from manually produced scanned historical topographic maps. The contained forest cover is a unique data source for GIS-based land cover change modelling. As a case study, this work focuses on the so-called Siegfried Map, the Swiss national topographic map series of the 19 century. The map is of low g...

In data visualization, characterizing local geometric properties of non-linear projection manifolds provides the user with valuable additional information that can in uence further steps in the data analysis. We take advantage of the smooth character of GTM projection manifold and analytically calculate its local directional curvatures. Curvature plots are useful for detecting regions where geo...

In this paper we address the problem of Voice Morphing. We attempt to transform the spectral characteristics of a source speaker’s speech signal so that the listener would believe that the speech was uttered by a target speaker. The voice morphing system transforms the spectral envelope as represented by a Linear Prediction model. The transformation is achieved by codebook mapping using the Gen...

Grounded Theory Methodology (GTM) is a powerful way to develop theories in domains where there are obvious opportunities to contribute in the form of carefully developed descriptive or explanatory conceptual theories. Reasonably nascent areas of academia, such as Game Studies, stand to particularly benefit from the development of new theoretical accounts. Yet, despite its proven utility in a wi...

In this paper, we propose a highly robust point-matching method (Graph Transformation Matching GTM) relying on finding the consensus graph emerging from putative matches. Such method is a twophased one in the sense that after finding the consensus graph it tries to complete it as much as possible. We successfully apply GTM to image registration in the context of finding mosaics from retinal ima...