Titlebook: Opportunities and Challenges for Next-Generation Applied Intelligence; Been-Chian Chien,Tzung-Pei Hong Book 2009 Springer-Verlag Berlin He

pulmonary

规章

Applying ELECTRE and Maximizing Deviation Method for Stock Portfolio Selection under Fuzzy Environmebility degree of each stock. Based on the outranking index and selection threshold, we can easily obtain portfolio set and decide the investment ratio of each stock. An example is implemented to demonstrate the practicability of proposed method.

放大

Vasoconstrictor

Visualization-Based Approaches to Support Context Sharing towards Public Involvement Support Systeml Information-Seeking Mantra, “Overview first, zoom and filter, then details on demand.” These approaches support citizens and stakeholders to find, to track, and to understand target arguments from the records of a public meeting.

漂泊

Predicting Residue-Wise Contact Orders in Proteins by Support Vector Regression with Parametric-Insetein folding rate prediction, and give deep insights into protein sequence-structure relationships. In this paper, we developed a novel approach to predict residue-wise contact order values in proteins based on support vector regression with parametric insensitive model.

发炎

暗语

An Adaptive Biometric System Based on Palm Texture Feature and LVQ Neural Networkingers and the palm are obtained and transformed into six feature vectors with a modified texture descriptor of LFP (local fuzzy pattern).We employ the LVQ2 to learn the prototypes of feature vectors of each user. Therefore, an unknown user’s palm feature vector is compared with prototypes to identify or verify his identity.

畸形

Cupping

Feature Particles Tracking for the Moving Objectes obtained by SIFT method were used as the initial particles to improve the tracking performance. Experimental results show that more particles centralize in the region of motion area by the presented method than traditional particle filtering, and tracking results are more accurate and robust of occlusion.

Fortuitous

A Filtering Approach for Mining Frequent Itemsetsach in mining process. It uses the frequent-related mechanism to generate the itemsets which are the most possible to be frequent and it eliminates a great number of infrequent itemsets. So FRM is very suitable to mine the databases whose record length is very long.