This paper briefly surveys existing methods for boosting multi-class classication algorithms, as well as compares the performance of one such implementation, Stagewise Additive Modeling using a Multi-class Exponential loss function (SAMME), against that of Softmax Regression, Classification and Regression Trees, and Neural Networks.

The rising popularity of the sensor-equipped smartphone is changing the possible scale and scope of human activity inference. The diversity in user population seen in large user bases can overwhelm conventional one-size-fits-all classication approaches. Although personalized models are better able to handle population diversity, they often require increased effort from the end user during train...

In this paper, we consider Adomian Decomposition Method (ADM),and Variational Iteration Method (VIM), Homotopy Analysis Method (HAM), Homotopy Analysis Transform Method (HATM) to solve the FractionalOrder Logistic Equation (FOLE). Comparisons between the approximate analytical solution and exact solution of FOLE are shown. 2010 Mathematics Subject Classication: 34-XX , 34Lxx ,34L30

Medical image security is possible using digital watermarking techniques. Important information included in a host medical order to provide integrity, consistency, and authentication the healthcare system. This paper introduces proposed method for embedding invisible 3D image. The cover used DICOM which consists of number slices, each one representing sense, firstly must separate ROI (Region In...

Computed tomography (CT) is used to diagnose diseases and tumors. A special dye called contrast material in CT scans assist emphasize the parts of body being examined. Therefore, an enhancement technique improve images' degradation needed. This paper aims present a method enhance quality Ct-Scan images based on discrete wavelets transform Retinex algorithm. The proposed methods are algorithm pa...

The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...