This paper presents a boundary-based, topological shape descriptor: the distance profile. It is inspired by the LBP (= local binary pattern) scale space – a topological shape descriptor computed by a filtration with concentric circles around a reference point. For rigid objects, the distance profile is computed by the Euclidean distance of each boundary pixel to a reference point. A geodesic di...

In recent years, the eeect of the curse of high dimensionality has been studied in great detail on several problems such as clustering, nearest neighbor search, and indexing. In high dimensional space the data becomes sparse, and traditional indexing and algorithmic techniques fail from a eeciency and/or eeectiveness perspective. Recent research results show that in high dimensional space, the ...

Texture can be observed in many natural and synthetic images from multispectral satellite images to the microscopic images of cell or tissue samples. Texture is an innate property of virtually all surfaces, the grain of wood, the weave of fabric, the pattern of crop in fields etc It contains important information about the structural arrangement of surfaces and their relationship to the surroun...

Data-matching function plays an essential role in a number of information processing systems, such as those for voice/ image recognition, codebook-based data compression, image coding, data search applications etc. In order to implement such functions effectively, both proper data representation algorithms and powerful search engines are essential. Concerning the former, robust image representa...

PURPOSE To test the feasibility and reliability of a direct observation method for measuring moderate to vigorous physical activity (MVPA) in children visiting an interactive children's museum exhibition. DESIGN Direct observation was used to assess MVPA in children visiting an interactive children's museum exhibition on 2 weekend days in winter 2013. SETTING The Children's Museum of Manhat...

This research aims to determine the maximum or minimum value of a Fuzzy Support Vector Machine (FSVM) Algorithm using optimization function. SVM is considered as an effective method data classification, opposed FSVM, which less on large and complex because its sensitivity outliers noise. One techniques used overcome this inefficiency fuzzy logic with ability select right membership function, si...

In recent years, the effect of the curse of high dimensionality has been studied in great detail on several problems such as clustering, nearest neighbor search, and indexing. In high dimensional space the data becomes sparse, and traditional indexing and algorithmic techniques fail from a efficiency and/or effectiveness perspective. Recent research results show that in high dimensional space, ...