Abstract The word “Design” is used in many ways. But most of them consider it from the standpoint artificial or man-made. In other words, as “Human Intelligence”, we should remember are born to “Design”. That “Instinct”. We with instinct survive. “Instint” “Natural Intelligence”. “Instinct” plays an important role for making decisions. decision making, need prioritze them. If first one fails sa...

For the purpose of explaining multivariate outlyingness, it is shown that squared Mahalanobis distance an observation can be decomposed into outlyingness contributions originating from single variables. The decomposition obtained using Shapley value, a well-known concept game theory became popular in context Explainable AI. In addition to outlier explanation, this also relates recent formulatio...

We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a simple and efficient algorithm for learning a full ranked Mahalanobis metric (Shental et al., 2002). We first show that RCA obtains the solution to an interesting optimization problem, founded on an information theoretic basis. If ...

Types of files (text, executables, Jpeg images, etc.) can be identified through file extension, magic number, or other header information in the file. However, they are easy to be tampered or corrupted so cannot be trusted as secure ways to identify file types.In the presence of adversaries, analyzing the file content may be a more reliable way to identify file types, but existing approaches of...

In supervised classification, each pixel of the image is labeled as representing a particular ground cover or class, taking information provided by the training samples, since the parameters of the classifier are estimated from the training samples. This training can be established using maps, site visits, or aerial photography. As the number of spectral bands or dimensions increases, the separ...

The validation of matching hypotheses using Mahalanobis distance is extensively utilized in robotic applications, and in general data-association techniques. The Ma-halanobis distance, deened by t h e i n n o vation and its covariance, is compared with a threshold deened by the chi-square distribution to validate a matching hypothesiss the validation test is a time-consuming operation. This pap...