Titlebook: Hybrid Information Systems; Ajith Abraham,Mario K?ppen Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 algorithms.class

infringe

A Hybrid Detection and Classification System for Human Motion Analysis active contour model for detecting and tracking moving objects in the visual field, and an MLP neural network for classifying the moving objects being tracked as ‘human’ or ‘nonhuman’. The axis crossover vector method is used for translating the active contour into a scale-. location-, resolution-

名次后綴

Integrated Technique with Neurocomputing for Temporal Video Segmentationhot boundaries and classifying both shot and shot transition types. Different methods are suitable for different situations and most of the existing methods consider a threshold value determining the boundary between the two shots. However, selection of a generalized optimal threshold value is an ex

Hyperplasia

Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Mapmodel. This problem is exacerbated by the fact that little is known about which techniques are suited to which types of problems. This paper provides some insights into the data characteristics that suit particular data mining algorithms. Our approach consists of four main stages. First, the perform

潛移默化

Perceptual Grouping of Contours via Gated Diffusion of Boundary Signals of contour interaction via diffusion of boundary signals from edge pre-processed images. This diffusion process is gated by a feedback signal from a layer of neurons, which are sensitive to the direction of surface. The network is based on human pre-attentive vision and in particular on the recent

兇殘

Fusion of Fuzzy System and Conventional Technique to Evaluate Weather and Terrain Effects on the Vehse of action for directing military vehicles from one designated area to the final destination in quickest way. The difficulty levels between the road network nodes are weather and terrain factors, which are presented on the GIS maps. The accurate performance of the combined technique in decision ma

爭(zhēng)吵

Soft Computing for Developing Short Term Load Forecasting Models in Czech Republicis function network, Hopfield model, fuzzy inference system and hybrid fuzzy neural network for the hourly electricity demand forecast of Czech Republic. The soft computing models were trained and tested using the actual hourly load data obtained from the Czech Electric Power Utility for the last se

Commemorate

漫不經(jīng)心

Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Fon support containing the information or data that is used in decision-making process. This is the field where engineers and scientists try to apply several heuristics and soft computing techniques such as learning, search and modelling the imprecise information to obtain optimal decisions. In this

圓桶

館長(zhǎng)

Vaijayanti Joshi,Lakhmi C. Jain,Udo Seiffert,Kathleen Zyga,Richard Price,Friedrich Leisch Rückschlüsse auf die beteiligten Strukturen und die Schwere des Krankheitsbildes zu. Die Sonographie kann als beliebig verfügbare und bettseitige Untersuchungsmethode in den einsehbaren Regionen einen wichtigen Beitrag zur Diagnosestellung leisten. Entscheidende Hinweise auf die Ursache pl?tzlicher