Titlebook: New Trends in Intelligent Information and Database Systems; Dariusz Barbucha,Ngoc Thanh Nguyen,John Batubara Conference proceedings 2015 S

殖民地

regale

Recognition of Human Gestures Represented by Depth Camera Motion Sequencesse containing seven selected gestures, performed by six subjects is collected. In acquisition Microsoft Kinect device was used. In the first stage of introduced method, linear dimensionality reduction in respect to depth images of human silhouettes is carried out. Furthermore, the proper recognition

BANAL

Segmentation of MRI Data to Extract the Blood Vessels Based on Fuzzy Thresholdingtive of the proposed algorithm is effective separation individual vessels and adjecent structures. In clinical practice, it is necessary to assess the progress of the blood vessels in order to assess the condition of the vascular system. For physician who performs diagnosis is much more rewarding to

行業(yè)

HARD

騙子

和平主義者

Type-Reduction for Concave Type-2 Fuzzy Setsinto several interval type-2 fuzzy sets. However, if the membership function of the type-2 fuzzy set is concave, the primary membership of these interval type-2 fuzzy sets on some points may not have only one continuous interval. Existing type-reduction algorithms, such as Karnik-Mendel algorithm an

幼稚

Evaluating Customer Satisfaction: Linguistic Reasoning by Fuzzy Artificial Neural Networkstherefore, enhancing the methods to evaluate the satisfactory level is worth studying. Collecting rich data to know the customers’ opinion is often encapsulated in verbal forms, or linguistic terms, which requires proper approaches to process them. This paper proposes and investigates the applicatio

commute

Hybrid Particle Swarm Optimization Feature Selection for Crime Classification relation analysis (GRA). The objective of this study is to identify the significant features of the specific crimes and to classify the crimes into three different categories. The PSO as the feature selection method, reduce the dimension of datasets by selecting the most significant features. The r

變量

Identification of Shill Bidding for Online Auctions Using Anomaly Detectionomaly detection techniques. The system focuses on cases where the final price can be inflated by interference of persons who are colluding with the seller. The main aim of the work was to support users of online auctions systems by mechanisms which would be able to detect this type of frauds. The pr