Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high utilities, but the number of rich-enough customers is limited. To overcome the weakness of the two models, we propose a novel model, called general utility mining, which takes both frequency and utility into considerati...

The topic of this diploma thesis is the solving of a Frequency Assignment Problem (FAP) in GSM radio networks by means of Constraint Programming. The task of frequency planning is the assignment of frequencies to base stations w.r.t. various constraints such that interference, which may have a substantial impact on the quality of the received signals, is avoided as far as possible. Constraint P...

We propose a method of designing equiripple linear-phase FIR filters with linear constraint by carrying out the Remèz exchange algorithm. A novel technique is derived to convert a linearly constrained problem into an equivalent unconstrained one. We proposed a technique to modify the original desired frequency response so that the original linear constraint can be reduced to a simpler one (the ...

In this paper, we address the issue of face hallucination. Most current hallucination methods rely on two-dimensional facial priors to generate high resolution images from low images. These are only capable assimilating global information into generated image. Still there exist some inherent problems in these methods, such as, local features, subtle structural details and depth missing final ou...