Dynamic tree data structures maintain forests that change over time through edge insertions and deletions. Besides maintaining connectivity information in logarithmic time, they ca...
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
Most of the logic synthesis algorithms are not scalable for large networks and, for this reason, partitioning is often applied. However traditional mincut-based partitioning techn...
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such a...
Image based reconstruction from multiple views is an interesting challenge. Recently methods of optimisation based voxel colouring have appeared, which make use of incremental vis...