Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits the power of pair-wise similarities between data points due to the prohibitive cost, timeand space-wise, in operating on a similarity matrix, where the state-of-the-art is at best quadratic in time and in space. We present an extremely fast and simple method also using the ...

In this paper we propose no learning based neural networks for serial multiplication. We show that for “subarray-wise” generation of the partial product matrix and a data transmission rate of -bit per cycle the serial multiplication of two n-bit operands can be computed in n serial cycles with an O(n ) size neural network, and maximum fan-in and weight values both in the order of O( log ). The ...

In this paper we propose no learning based neural networks for serial binary multiplication. We show that for \subarray-wise" generation of the partial product matrix and a data transmission rate of bits per cycle the serial multiplication of two n-bit operands can be computed in n serial cycles with an O(nn) size neural network, and maximum fan-in and weight values both in the order of O(log)....

We consider two popular, permutation-based, step-down procedures of p-values adjustment in multiple testing problems known as min P and max T and intended for strong control of the family-wise error rate, under the so-called subset pivotality property (SPP). We examine key but subtle issues involved in ascertaining validity of these methods, and also introduce a new, slightly narrower notion of...

One concern about using transgenic plants is the genetic variation that occurred from theirs tissue culture and regeneration. Molecular markers are an important element for efficient and effective determination of genetic variation. The present work was carried out to assess the genetic uniformity of transgenic cottons (Bt and chitinase lines), using RAPD, ISSR molecular markers and SDS-PAGE an...

Two dimensional string theory is known to have an infinite dimensional symmetry, both in the continuum formalism as well as in the matrix model formalism. We develop a systematic procedure for computing the conserved charges associated with these symmetries for any configuration of D-branes in the continuum description. We express these conserved charges in terms of the boundary state associate...

Among infectious diseases the Tuberculosis (TB) is one of the major causes of morbidity and mortality. The present study was carried out in district Dir (Lower) Khyber Pukhtoon Khwa Pakistan. The aim of the study was to find out the prevalence of TB among the local population in district Dir (L). A descriptive study was design. The data were collected from different hospitals located in differe...

This paper presents a modified digital image watermarking method based on nonnegative matrix factorization. Firstly, host image is factorized to the product of three nonnegative matrices. Then, the centric matrix is transferred to discrete cosine transform domain. Watermark is embedded in low frequency band of this matrix and next, the reverse of the transform is computed. Finally, watermarked ...

If is the computed solution to a tridiagonal system Ax b obtained by Gaussian elimination, what is the "best" bound available for the error x and how can it be computed efficiently? This question is answered using backward error analysis, perturbation theory, and properties of the LU factorization of A. For three practically important classes of tridiagonal matrix, those that are symmetric posi...

We report our results on the THUMOS Challenge 2014 Action Recognition Task. Given an untrimmed video as input, our method recognizes its major action category in four main steps: (1) detect shot boundaries within the video; (2) decode pre-computed indices of iDTFs within each shot; (3) encode the recovered iDTFs into shot-wise fisher vectors and compute the shot-to-category classification score...