In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image...
In this paper, we present a local graph matching based method for tracking cells and cell divisions in noisy images. We work with plant cells, where the cells are tightly clustere...
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed âmanifold-motivatedâ...
Abstractâ This paper introduces a transformational design method which can be used to map code written in a high level source language, like C, to a coarse grain reconïŹgurable ...
Implicit information embedded in semantic web graphs, such as topography, clusters, and disconnected subgraphs is difficult to extract from text files. Visualizations of the graph...