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This paper studies the behavior of a fixed-parameter technical trading rule as applied to four commodity futures contracts. The evidence suggests that fixed-parameter rules are inflexible, leading to wide swings in performance both across commodities and time periods. Consequently, the paper recommends the use of flexible-parameter trading rules which adapt(More)
The ability of object recognition system is to recognize a large number of objects constrained by a variety of factors such as the selection of a feature extraction method, quality of the images, and the classification models. This paper presents an approach to the recognition of complex shape objects using shape representation features. The shape(More)
Video surveillance in a dynamic environment is one of the current challenging research topics in computer vision. In video surveillance, detection of moving objects from a video is important for object detection, target tracking, and behavior understanding. The present work is about locating a moving object (or multiple objects) over a time using a(More)
Handwritten numeral character recognition has been an intensive research in the field of artificial intelligence since many decades. This paper proposes a radial basis function neural network model for recognizing handwritten numerals. The geometric shape of handwritten numerals is described by computing a feature vector based on the skeleton of the images.(More)
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