We argue that brane anti-brane inflation in string theory de-Sitter vacua of KachruKallosh-Linde-Trivedi (KKLT) is captured by the dynamics of a D3-brane probe in the local KKLT model constructed in hep-th/0203041. This provides a framework to study in a controllable way corrections to the inflationary slow roll parameter η due to conformal symmetry breaking in a warped geometry throat. We comp...

This paper describes a new theory of consciousness based on previous work by C.D. Broad, H.H. Price, Andrei Linde and others. This hypothesis states that the Universe consists of three fundamental entities — space-time, matter and consciousness, each with their own degrees of freedom. The paper pays particular attention to three areas that impact on this theory: (1) the demonstration by neurosc...

In this paper, LBGS, a new parallel/distributed technique for Vector Quantization is presented. It derives from the well known LBG algorithm and has been designed for very complex problems where both large data sets and large codebooks are involved. Several heuristics have been introduced to make it suitable for implementation on parallel/distributed hardware. These lead to a slight deteriorati...

In this paper, a hybrid approach for vector quantization (VQ) is proposed for obtaining the better codebook. It is modified and improved based on the centroid neural network adaptive resonance theory (CNN-ART) and the enhanced Linde–Buzo–Gray (LBG) approaches to obtain the optimal solution. Three modules, a neural net (NN)-based clustering, a mean shift (MS)-based refinement, and a principal co...

The electrochemical properties of cytochrome c (cyt c) immobilized on multilayer nanozeolite-modified electrodes have been examined in aqueous and nonaqueous solutions. Layers of Linde type-L zeolites were assembled on indium tin oxide (ITO) glass electrodes followed by the adsorption of cyt c, primarily via electrostatic interactions, onto modified ITO electrodes. The heme protein displayed a ...

The paper presents an innovative technique for colorization of grayscale images. Here the colors from some source color image are picked up and sprayed into the to be colored grayscale image. The color palette used in colorization technique discussed here is generated using the Linde Buzo and Gray (LBG) codebook. The technique is tested using various VQ codebook sizes like 32, 64, 128, 256 and ...

In this paper, a novel unsupervised competitive learning algorithm, called the centroid neural network adaptive resonance theory (CNN-ART) algorithm, is proposed to relieve the dependence on the initial codewords of the codebook in contrast to the conventional algorithms with vector quantization in lossy image compression. The design of the CNN-ART algorithm is mainly based on the adaptive reso...

In this paper, personalized quantization of the filter coefficients of Linear Predictive Coding (LPC) is studied. The study covers two aspects. On the one hand, a signal-adaptive algorithm which determines when to transmit a set of LPC coefficients is introduced. This algorithm allows a reduction of about 35% of the bit rate needed to code the LPC coefficients in speech storage applications – e...

In this paper, an unsupervised approach based on Evolving Vector Quantization (EVQ) is presented for enhancing dermatology images for skin lesion segmentation. Vector Quantization (VQ) as a famous compression technique has been widely used in image signal compression and speech signal compression. The EVQ algorithm extends the Linde, Buzo, and Gray (LBG) Vector Quantization method with Particle...