Combined association, segregation and aggregation analysis by Zhao L. P.

By Zhao L. P.

Show description

Read or Download Combined association, segregation and aggregation analysis on case control family data PDF

Best organization and data processing books

Personalized Digital Television: Targeting Programs to Individual Viewers

Television audience this day are uncovered to overwhelming quantities of knowledge, and challenged by way of the plethora of interactive performance supplied by means of present set-top containers. to make sure huge adoption of this expertise by way of shoppers, destiny electronic tv should take usability concerns completely into consideration.

Membrane Computing: 6th International Workshop, WMC 2005, Vienna, Austria, July 18-21, 2005, Revised Selected and Invited Papers

This publication constitutes the completely refereed prolonged postproceedings of the sixth foreign Workshop on Membrane Computing, WMC 2005, held in Vienna, Austria, in July 2005. The 20 revised complete papers awarded including five invited papers went via rounds of reviewing and development. The papers during this quantity hide the entire major instructions of study in membrane computing, starting from theoretical subject matters in arithmetic and laptop technology, to software concerns, specifically in biology.

Ultimate Zero and One : Computing at the Quantum Frontier

Computing on the fringe of Nature -- Rethinking pcs -- Shrinking expertise -- A Peek Into Quantumland -- The Qubit: final 0 and One -- Are Bits riding Us Bankrupt? -- Quantum Computing -- methods of the alternate -- Quantum reminiscence Registers -- The prepare--evolve--measure Cycle -- Quantum Gates and Quantum Circuits -- instance of a Quantum Computation -- What Can pcs Do?

Additional resources for Combined association, segregation and aggregation analysis on case control family data

Example text

Due to the relatively uniform distribution of the RGB bands, we chose 8 uniform quantization bins for each of the RGB bands. For the HSV color space histogram, we took the statistical nature of the HSV space into consideration, along with human sensitivity to hue and saturation, and uniformly quantized the hue, saturation and value histograms into 12,5,5 bins respectively [lo]. The similarity metric that we implemented for the actual retrieval was the histogram intersection [39]. Fig. 8. bat image and the color sea green Reprinted from [41] with permission from Ekevier.

Prior t o the similarity matching process, the best cluster to perform the retrieval is determined from the query feature descriptor and the cluster centroid using the nearest-neighbor algorithm. 75% retrieval precision in average for offloading the computation with an order 0 ( 1 / N ) where N=10. The inter-dependence between each individual image database can be used to improve the retrieval precision for a centralized CBR system, using the same algorithm proposed for a distributed CBR system.

Thus, we need to rank the retrieval results based on the magnitude of D and the angle, LD, that it makes with the equidistant line. To do this we combine the two values using a weighted sum: where lower rank values 72. imply images with a closer match to both the query colors. , magnitude or angle, are to dominate. 2 give the most robust results. This is to be expected since collinearity with the equidistant line does not necessarily imply a match with any query color. It implies that each query color is equally close to the indexed colors.

Download PDF sample

Rated 4.56 of 5 – based on 16 votes