Ran Baik

A Study on the Generation of OLAP Data Cube Based on 3D Visualization Interaction

This paper proposes a new method of creating 3D visual data cubes for high volume/dimension OLAP data analysis with intuitive region selection. Previous methods construct data cubes directly from a data warehouse and build table format cubes with multi-dimensional attributes, in order to specify target ranges for analysis. However, it is a difficult task to select appropriate attributes and their ranges from high cardinality of dimensions with hierarchical structure. The new method reduces the number of dimensions according to the levels of relationship, then confines analysis target ranges with intuitive 3D graphical interface to build an analysis target cube.

Moving target prediction using evolutionary algorithms

This paper presents an approach for target movement prediction by using Genetic Algorithms to generate the population of movement generation operators In this approach, we use objective functions, not derivatives or other auxiliary knowledge, and apply probabilistic transition rules, not deterministic rules, for target movement prediction Its performance has been experimentally evaluated through several experiments.

Computing for eigenpairs on globally convergent iterative method for hermitian matrices

Let A = A* ∈ Mn and

Adaptive object recognition with image feature interpolation

{\cal L} = \{ (U_k, \lambda_k)|\; U_k \in {\mathbb{C}}^n, ||U_k|| = 1

Digital Image Magnification Using Gaussian-Edge Directed Interpolation

and λk∈ℝ } for k = 1,⋯,n be the set of eigenpairs of A. In this paper we develop a modified Newton method that converges to a point in

Automatic Segmentation of Region of Interests in MR Images Using Saliency Information and Active Contours

\cal L

Smart Desk: A Single Interface Based File Sharing System

starting from any point in a compact subset

Computing of Extremal Characteristic Values of Symmetric Matrices by Individual Homotopy Algorithm

{\cal D} \subseteq {\mathbb{C}}^{n+1}, {\cal L} \subseteq {\cal D}\!

An Application of a Parallel Algorithm on a Image Recognition

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A Distribution Study and Analysis of Vibration Modes in the 3-Dimension

The paper presents a novel image (feature) interpolation method to reinforce the adaptive object recognition system The system deals with texture images in a sequence according to changing perceptual conditions When it recognizes several classes of objects under variable conditions, a fundamental problem is that two or more classes are overlapped on the feature space This interpolation method is useful to resolve the overlapping issue.