-
Chapter and Conference Paper
Image Super Resolution Using Expansion Move Algorithm
In multi-frame image super resolution (SR), graph-cut is an effective algorithm to minimize the energy function for SR. As a kind of graph-cut algorithm,
-
Chapter
Affine SIFT Based on Particle Swarm Optimization
As for ASIFT, ASIFT has been proven to be invariant to image scaling and rotation. Specially, ASIFT enables matching of images with severe view point change and outperforms significantly the state-of-the-art m...
-
Chapter and Conference Paper
Moore-Smith ωθ-Convergence Theory in ω-Molecular Lattices
In this paper, Moore-Smith ωθ-convergence theory of molecular nets and ideals in an ω-molecular lattice are established. By means of the ωθ-convergence theory, some important characterizations with respective to ...
-
Chapter and Conference Paper
An Algorithm of Context Rules Generation Based on Virtual Environment
With the widespread application of ubiquitous computing, the context-aware computing is introduced into virtual environment for providing proactive service model in this paper. The key technology of context-aw...
-
Chapter and Conference Paper
Mining Fuzzy Association Rules by Using Nonlinear Particle Swarm Optimization
This paper presents a fuzzy association rules mining algorithm by using nonlinear particle swarm optimization (NPSO) to determine appropriate fuzzy membership functions that cover the domains of quantitative a...
-
Chapter and Conference Paper
ωδ-Convergence Theory in Lω-Spaces
In this paper, the ωδ-convergence theory of nets and ideals in Lω-spaces is established. By means of the ωδ-convergence theory, some important characterizations with respective to the ωδ-closed sets and (ω ...
-
Chapter and Conference Paper
The Almost ω-Compactness in Lω-Spaces
In this paper, the concepts of almost αω-remote neighborhood family, almost γω-cover and almost ω-compactness are proposed in Lω-spaces. The characterizations of almost ω-compactness are systematically discussed....
