Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that descri...
In this paper we present two algorithms that effectively synthesize a finite place/transition Petri net (p/t-net) from a finite set of labeled partial orders (a finite partial lang...
Synthesis of asynchronous circuits from Signal Transition Graphs (STGs) involves resolution of state encoding conflicts by means of refining the STG specification. In this paper, ...
We present an unsupervised blood cell segmentation algorithm for images taken from peripheral blood smear slides. Unlike prior algorithms the method is fast; fully automated; find...