نتایج جستجو برای: iranian lbg

تعداد نتایج: 40029  

2013
Zhaoan Su Chundi Xiu

2012CB315905) and the Beijing Natural Science Foundation. Abstract Codebook design plays an important role in the performance of signal processing based on vector quantization (VQ) just as speech coding, data compression and pattern recognition. LBG is one of the most effective algorithms and is widely used in codebook generation. Some problems still exist while its performance is remarkable. T...

Journal: :Research, Society and Development 2023

The present study aimed to manufacture active biodegradable films from soy protein isolate (SPI), locust bean gum (LBG) and caruru blackjack leaf extract. interaction between the compounds was evaluated through analysis of FTIR. effect extract addition on microstructure, mechanical properties, antioxidant capacity, UV radiation absorption color opacity film were evaluated. All extracts interact...

Journal: :International Journal of Computer Applications 2010

Journal: :Journal of Animal Science 2022

Abstract Locust bean gum (LBG) is a galactomannan extracted from the seeds for use as food thickener and stabilizer claimed to have applications in biopharmaceutical field. The possible immunomodulatory effects of LBG been studied cell lines. objective this study was evaluate effect on expression genes associated with innate adaptive immune responses cow blood. Blood collected (n=3) clinically ...

Journal: :Frontiers in Marine Science 2021

The global pattern of shallow marine biodiversity is constructed primarily using the data from extra-tropical sites. A severe knowledge gap in benthic diversity exists for tropical Indian Ocean, especially along coastline peninsular India. Latitudinal gradient (LBG)—a poleward decrease diversity, even though accepted as a pervasive pattern, often differs regional trends. Although several oceano...

1999
François Pellegrino Jérôme Farinas Régine André-Obrecht

This paper presents two unsupervised approaches to Automatic Language Identification (ALI) based on a segmental preprocessing. In the Global Segmental Model approach, the language system is modeled by a Gaussian Mixture Model (GMM) trained with automatically detected segments. In the Phonetic Differentiated Model approach, an unsupervised detection vowel/non vowel is performed and the language ...

2006
Cyril Briquet

Automated resource exchange and negotiation between participants of a Virtual Organization, or Peers of a Peer-to-Peer Grid, is an important feature of Grid computing because it enables scalable cooperation between entities under separate administrative control. Automated negotiation and accounting of resource consumption have been studied, and market-based resource exchange methods have been p...

2010
H. B. Kekre Vaishali Kulkarni Lawrence Rabiner Biing-Hwang Juang D. A. Reynolds Joseph P. Campbell C. Fredouille G. Gravier I. Magrin-Chagnolleau S. Meignier T. Merlin J. Ortega-García Tomi Kinnunen Evgeny Karpov Marco Grimaldi F. K. Soong

In this paper, two approaches for speaker Recognition based on Vector quantization are proposed and their performances are compared. Vector Quantization (VQ) is used for feature extraction in both the training and testing phases. Two methods for codebook generation have been used. In the 1st method, codebooks are generated from the speech samples by using the Linde-Buzo-Gray (LBG) algorithm. In...

Journal: :CoRR 2009
H. B. Kekre Tanuja K. Sarode Saylee M. Gharge

Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast cancer. That is why we proposed new algorithm to detect cancer in mammogram breast cancer images. In this paper we proposed segmentation using vector quantization technique. Here we used Linde Buzo-Gray algorithm (LBG) for...

2010
Saylee M. Gharge Tanuja K. Sarode

The ability to improve diagnostic information from medical images can be enhanced by designing computer processing algorithms that is why we proposed new algorithm to detect cancer in mammogram breast cancer images. In this paper we proposed segmentation using vector quantization technique. Here we used Linde Buzo and Gray (LBG)for segmentation of mammographic images on probability image. Initi...

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