Abstract:The classical algorithm ISOMAP can find the intrinsic low-dimensional structures hidden in high-dimensional data uniformly distributed on or around a single manifold, but if the data are sampled from multi-class, each of which corresponds to an independent manifold, and clusters formed by data points belonging to each class are separated away, several disconnected neighborhood graphs will form, which leads to the failure of ISOMAP algorithm. In this paper, an improved version of ISOMAP, namely Multi-Class Multi-Manifold ISOMAP (MCMM-ISOMAP), is proposed. MCMM-ISOMAP constructs a single neighborhood graph not by increasing the value of neighborhood parameter, but by the following steps that first choose appropriate value with which short-circuit edges can not be introduced, second find such pairwise data each of which are two endpoints of the shortest Euclidean distance between classes, and finally make them neighborhood points each other. Thereby a single neighborhood graph will form, and then ISOMAP algorithm is applied to find the intrinsic low-dimensional embedding structure. Experimental results on synthetic and real data reveal effectiveness of the proposed method.
The hand pressure applying on breast determines the possibilities of lump detection during breast self-examination. In the paper, a method of estimating hand pressure is presented by means of image entropy among image sequence obtained by a Web camera in breast self-examination based on multimedia system. Firstly, the breast self-examination multimedia system is described in detail. Then according to the statistic character of image entropy, calculating the difference between current and initial image and giving the entropy of the difference, we may obtain the estimation of the hand pressure. The estimated pressure is proved to be accurate through a human-like silicon breast experiment. The dynamic model of the breast is set up, close to Hook rule by means of verifying of the proposed pressure estimation. The algorithm is simple and the calculation is limited in a local region of the images, which is beneficial to real-time realization.
"Principle and application of single chip microcomputer" is an important course for electronic information specialty. In view of the problems existing in the traditional teaching, combined with Proteus ,keil and virtual reality technology from two aspects of the teaching method and experiment measures, elaborated teaching reform in the new method based on Proteus,which will innovate classroom teaching mode, enrich the contents of the practice teaching, improve the teaching effect, stimulate the students' learning interest, and cultivate the students' practical innovation ability.
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