In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
We describe some extensions to the grid smoothing scheme described in [1, 2] that deal with the following issues: 1) the clustering effect of changing valence in an unstructured ...
We present a polynomial upper bound for flattening of UML statecharts. An efficient flattening technique is derived and implemented in SCOPE—a code generator targeting constra...
As the number of in-house and public-domain 3D shape models increase, importance of shape-similarity based search and retrieval for 3D shapes models has increased rapidly. In this...
In this paper we investigate the problem of evaluating ranked lists of biomarkers, which are typically an output of the analysis of high-throughput data. This can be a list of pro...