The existing Data Envelopment Analysis models for evaluating the relative eciency of a set of decision making units by using various inputs to produce various outputs are limited to crisp data in crisp production possibility set. In this paper, rst of all the production possibility set is extended to the fuzzy production possibility set by extension principle in constant return to scale, and th...

The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. The purpose of PCA is to reduce the large dimensionality of the data space (observed variables) to the smaller intrinsic dimensionality of feature space (independent variables), which are n...

Segmentation of Grey/White/CSF from MR images depends on contrast to noise ratios (CNR) among these tissues and the CSF. The CNRs are determined by the acquisition method and imaging parameters. These factors can be optimized for improved image segmentation [1,21. In many MR studies, multiple images of the same slice locations are acquired, each with different weightings based Tl/T2/proton dens...

For improving accuracy and increasing efficiency of classifier, there are available many effective techniques. One of them combining multiple classifier technique is used for this purpose. In this paper I present a novel approach to a combining algorithm designed to improve the accuracy of principle component classifier. This novel approach combines multiple PCA classifiers, each of using a sub...

Although many modern imaging systems are still producing grayscale images, colored-images are more preferred for the larger amount of information they are carrying. Computing the grayscale representation of a color image is a straightforward task, while the inverse problem has no objective solution. The search through out literature has not revealed much history of the past works. In this paper...

In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and matching process. In modern time the skill have enhanced face detection system into the vigorous focal point. Researcher’s currently undergoing strong research on finding face recogn...

This paper describes a type constructor for nonstandard extensions of arbitrary types, generalizing the previous formalization of nonstandard analysis in Isabelle by Fleuriot and Paulson [1]. In addition to numeric types, nonstandard extensions of function spaces and set types also prove useful—they provide an elegant way to define internal functions and internal sets. The paper also describes ...

A. de Cheveigné, "Cancellation principle", last revised: 1 Dec 2003 2 dB for a two-microphone delay-and-add beamformer). Second, jammer cancellation works well in situations where SNR is unfavorable (for which segregation is most needed). In that case estimating jammer structure is easy, whereas estimating target structure is hard. Cancellation has two weaknesses. The first is that the jammer m...

In democratic societies restriction of persons’ freedom by the state or any legal authority is justified only in highly limited contexts and for strictly specified purposes. Among these, the first (and for liberalist thinkers, the only legitimate) one is the prevention of unacceptable harm to entities worth of protection. Violation of the privacy right in any form requires also a strong evidenc...

Cancellation is a process by which an interfering source (“jammer”) is removed from a mixture of sounds on the basis of its structure. This is part of the task of “scene analysis” that confronts natural organisms and artificial devices. Jammer cancellation is distinct from, and complementary to, target enhancement. Time-domain cancellation filters are distinct from, and complementary to, time-f...