Generative topographic map

Known as: GTM, Generative topographic mapping

Generative topographic map (GTM) is a machine learning method that is a probabilistic counterpart of the self-organizing map (SOM), is probably…

Papers overview

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2017

Tools for counting traffic are not only used to obtain information about traffic conditions and necessary data in order to design…

2016

An accurate Image segmentation is very important in image processing. The main purpose of the image segmentation is to partition…

2013

This dissertation is a comprehensive description of Tafi, one of the fourteen Ghana-Togo Mountain (GTM) languages, spoken by…

2012

It has been suggested that Cooperative Learning (CL), as a close relative of Community Language Learning (CLL), might be a good…

2010

Image feature extraction and matching is useful in many areas of robotics such as object and scene recognition, autonomous…

2009

Let C be some class of objects equipped with a set of simplifying moves. When we apply these to a given object M in C as long as…

2001

Image processing algorithms for 2D digital filtering, morphologic operations, motion estimation, and template matching involve…

2001

This paper presents a methodology that can be used for long-term planning of freight transportation on multimodal networks. It is…

2000

Next generation radio telescope designs face two serious technical challenges in pointing accuracy. The first is that improved…

1990

Modified Marshall equipment and Gyratory Testing Machine (GTM) are now available for compacting and testing 6-inch diameter…