Academic literature on the topic 'VQ'
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Journal articles on the topic "VQ"
Weinmann, P. "VQ/SPECT." Journal of Nuclear Medicine 51, no. 9 (August 18, 2010): 1491. http://dx.doi.org/10.2967/jnumed.109.073627.
Full textLing, Lei, Yue Qu, Jintao Zhu, Dan Wang, and Changhong Guo. "Genome-wide identification and expression analysis of the VQ gene family in Cicer arietinum and Medicago truncatula." PeerJ 8 (February 4, 2020): e8471. http://dx.doi.org/10.7717/peerj.8471.
Full textZhong, Yan, Cong Guo, Jinjin Chu, Hui Liu, and Zong-Ming Cheng. "Microevolution of the VQ gene family in six species of Fragaria." Genome 61, no. 1 (January 2018): 49–57. http://dx.doi.org/10.1139/gen-2017-0038.
Full textGupta, Amulya, and Zhu Zhang. "Vector-Quantization-Based Topic Modeling." ACM Transactions on Intelligent Systems and Technology 12, no. 3 (April 22, 2021): 1–30. http://dx.doi.org/10.1145/3450946.
Full textYan, Huifang, Yujiao Wang, Bing Hu, Zhenfei Qiu, Bingshan Zeng, and Chunjie Fan. "Genome-Wide Characterization, Evolution, and Expression Profiling of VQ Gene Family in Response to Phytohormone Treatments and Abiotic Stress in Eucalyptus grandis." International Journal of Molecular Sciences 20, no. 7 (April 10, 2019): 1765. http://dx.doi.org/10.3390/ijms20071765.
Full textShokri, Saeid, Mohammad Sadeghi, Mahdi Marvast, and Shankar Narasimhan. "Integrating principal component analysis and vector quantization with support vector regression for sulfur content prediction in HDS process." Chemical Industry and Chemical Engineering Quarterly 21, no. 3 (2015): 379–90. http://dx.doi.org/10.2298/ciceq140418039s.
Full textKwon, Soon Il, and D. J. Hwang. "Plant-specific VQ-domain proteins as interaction partners of WRKY transcription factors." Plant Genetic Resources 12, S1 (July 2014): S121—S124. http://dx.doi.org/10.1017/s1479262114000409.
Full textWang, Yongbin, Zhenfeng Jiang, Zhenxiang Li, Yuanling Zhao, Weiwei Tan, Zhaojun Liu, Shaobin Cui, et al. "Genome-wide identification and expression analysis of the VQ gene family in soybean (Glycine max)." PeerJ 7 (August 21, 2019): e7509. http://dx.doi.org/10.7717/peerj.7509.
Full textBalázsi, Csaba, Zsolt Czigány, Ferenc Wéber, Zsuzsanna Kövér, Zoltán Kónya, Zófia Vértesy, László Péter Biró, Imre Kiricsi, and Péter Arató. "Carbon Nanotubes as Ceramic Matrix Reinforcements." Materials Science Forum 537-538 (February 2007): 97–104. http://dx.doi.org/10.4028/www.scientific.net/msf.537-538.97.
Full textMahajan, Vipul R., and Alka Khade. "A Survey: Content Based Image Retrieval using Block Truncation Coding." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 12 (January 3, 2018): 46. http://dx.doi.org/10.23956/ijarcsse.v7i12.495.
Full textDissertations / Theses on the topic "VQ"
Pan, Jenq-Shyang. "Improved algorithms for VQ codeword search, codebook design and codebook index assignment." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/15581.
Full textPecher, Pascal [Verfasser]. "Proteine mit VQ-Motiv : Substrate pflanzlicher MAP-Kinasen und potentielle Regulatoren der Immunabwehr / Pascal Pecher." Halle, 2017. http://d-nb.info/1155760905/34.
Full textWeyhe, Martin [Verfasser], Dierk [Gutachter] Scheel, Ulla [Gutachter] Bonas, and Thorsten [Gutachter] Nürnberger. "Transcriptional regulation of defence gene expression by a VQ-motif containing protein / Martin Weyhe ; Gutachter: Dierk Scheel, Ulla Bonas, Thorsten Nürnberger." Halle (Saale) : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2019. http://d-nb.info/121072927X/34.
Full textWeyhe, Martin [Verfasser], Dierk Gutachter] Scheel, Ulla [Gutachter] [Bonas, and Thorsten [Gutachter] Nürnberger. "Transcriptional regulation of defence gene expression by a VQ-motif containing protein / Martin Weyhe ; Gutachter: Dierk Scheel, Ulla Bonas, Thorsten Nürnberger." Halle (Saale) : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2019. http://nbn-resolving.de/urn:nbn:de:gbv:3:4-1981185920-142191.
Full textDelgado, Júlio António Rocha. "Aplicação empírica da realized volatility ao índice PSI20." Master's thesis, Instituto Superior de Economia e Gestão, 2005. http://hdl.handle.net/10400.5/17746.
Full textNesta dissertação é feito um estudo sobre o novo método ou procedimento (não paramétrico) de estimação da volatilidade recentemente proposto na literatura, a Realized Volatility (RV), obtido pela soma dos produtos cruzados dos retornos de alta- frequência intra-diários. O objectivo principal do estudo consiste em fazer uma aplicação empírica da RV ao índice PSI20, focando sobretudo nos estudos das propriedades das distribuições condicionais e não condicionais, confrontando com os resultados já obtidos na literatura. Considerando duas séries de frequências de 5 e 30 minutos verificamos que ambas as distribuições empíricas da RV são não normais e fortemente enviesado à direita, enquanto que as distribuições marginais do logaritmo da RV são aproximadamente normais, assim como as distribuições dos retornos estandardizados. O logaritmo da RV apresenta uma forte dependência temporal e parece ser bem descrita por um processo de memória longa. Esses resultados são consistentes com os estudos já efectuados. Verificamos ainda que logaritmo da RV exibe o efeito assimétrico da volatilidade. Considerando a volatilidade como uma variável observável, em vez de latente como nos modelos ARCH (AutoRegressive Conditional Heteroskedastic) e de Volatilidade Estocástica (VE), propomos modelar as características dinâmicas do logaritmo da RV através do modelo ARFIMA (Autoregressive Fractionally Integrated Moving Average).
ln this dissertation, it is done a study about a new (non-parametric) method or procedure to estimate the volatility recently proposed in literatures, Realized Volatility (RV), which can be obtained by sumrning of cross-products of high frequency intraday returns. The main objective of this study is to perform an empirical application of RV to the PSI20 index, focused on the conditional and unconditional properties, and to compare with the results that have appeared in literature. Considering two series of frequencies 5 and 30 minutes we find for both that the distributions of RV are not normal and are highly skewed to the right, while the log of RV are approximately normal, as are the distributions of the standardized returns. The log of RV show strong temporal dependence and appear to be well described by long memory processes. Our results are consistent with the findings in literature. We also find that the log of RV exhibit the asymmetric volatility effect .Considering the volatility as an observable variable, instead of latent as in ARCH (AutoRegressive Conditional Heteroskedastic) and Stochastic Volatility (VE) models, we modelled the dynarnic characteristics of the log of RV series using ARFIMA (Autoregressive Fractionally Integrated Moving Average) models.
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Campos, Victor de Abreu [UNESP]. "Arcabouço para reconhecimento de locutor baseado em aprendizado não supervisionado." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/151725.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
A quantidade vertiginosa de conteúdo multimídia acumulada diariamente tem demandado o desenvolvimento de abordagens eficazes de recuperação. Nesse contexto, ferramentas de reconhecimento de locutor capazes de identificar automaticamente um indivíduo pela sua voz são de grande relevância. Este trabalho apresenta uma nova abordagem de reconhecimento de locutor modelado como um cenário de recuperação e usando algoritmos de aprendizado não supervisionado recentes. A abordagem proposta considera Coeficientes Cepstrais de Frequência Mel (MFCCs) e Coeficientes de Predição Linear Perceptual (PLPs) como características de locutor, em combinação com múltiplas abordagens de modelagem probabilística, especificamente Quantização Vetorial, Modelos por Mistura de Gaussianas e i-vectors, para calcular distâncias entre gravações de áudio. Em seguida, métodos de aprendizado não supervisionado baseados em ranqueamento são utilizados para aperfeiçoar a eficácia dos resultados de recuperação e, com a aplicação de um classificador de K-Vizinhos Mais Próximos, toma-se uma decisão quanto a identidade do locutor. Experimentos foram conduzidos considerando três conjuntos de dados públicos de diferentes cenários e carregando ruídos de diversas origens. Resultados da avaliação experimental demonstram que a abordagem proposta pode atingir resultados de eficácia altos. Adicionalmente, ganhos de eficácia relativos de até +318% foram obtidos pelo procedimento de aprendizado não supervisionado na tarefa de recuperação de locutor e ganhos de acurácia relativos de até +7,05% na tarefa de identificação entre gravações de domínios diferentes.
The huge amount of multimedia content accumulated daily has demanded the development of effective retrieval approaches. In this context, speaker recognition tools capable of automatically identifying a person through their voice are of great relevance. This work presents a novel speaker recognition approach modelled as a retrieval scenario and using recent unsupervised learning methods. The proposed approach considers Mel-Frequency Cepstral Coefficients (MFCCs) and Perceptual Linear Prediction Coefficients (PLPs) as features along with multiple modelling approaches, namely Vector Quantization, Gaussian Mixture Models and i-vector to compute distances among audio objects. Next, rank-based unsupervised learning methods are used for improving the effectiveness of retrieval results and, based on a K-Nearest Neighbors classifier, an identity decision is taken. Several experiments were conducted considering three public datasets from different scenarios, carrying noise from various sources. Experimental results demonstrate that the proposed approach can achieve very high effectiveness results. In addition, effectiveness gains up to +318% were obtained by the unsupervised learning procedure in a speaker retrieval task. Also, accuracy gains up to +7,05% were obtained by the unsupervised learning procedure in a speaker identification task considering recordings from different domains.
FAPESP: 2015/07934-4
Cronvall, Per. "Vektorkvantisering för kodning och brusreducering." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2377.
Full textThis thesis explores the possibilities of avoiding the issues generally associated with compression of noisy imagery, through the usage of vector quantization. By utilizing the learning aspects of vector quantization, image processing operations such as noise reduction could be implemented in a straightforward way. Several techniques are presented and evaluated. A direct comparison shows that for noisy imagery, vector quantization, in spite of it's simplicity, has clear advantages over MPEG-4 encoding.
Hsu, Ping-Hsen, and 許平顯. "Quadtree-based BTC-VQ Compression." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/35824021316228171636.
Full text國立交通大學
資訊科學學系
83
A quadtree-based BTC-VQ coding method is proposed in the thesis for image compression. First, the image is partitioned into nonoverlapping 32*32 subimages. For each subimage, according to the smoothness of the gray values, the subimage is partioned using a quadtree segmentation. In order to improve the efficiency of the conventional quadtree structure, we propose three new methods, called position quadtree, bitmap quadtree, and position-VQ quadtree, to encode the segmentation quadtree. The number of bits needed to encode the segmentation quadtree is reduced significantly by using these three new methods. While coding the segmented blocks, the blocks with the size of 32*32, 16*16, and 8*8 are all coded using the mean value because they are identified as smooth blocks. On the other hand, the blocks with the size of 4*4 are classified into three categories: the smooth blocks, the texture blocks, and the edge blocks. A smooth block is coded using the mean value of the block. A texture block is coded with a 2-level BTC-VQ, while each edge block is coded using a 3-level BTC with VQ technique to improve the perceived quality. Simulation results show that good visual quality and low MSE are obtained. In addition, the bit rate is in the range of 0.7-0.9 bpp when the proposed QTBTC- VQ is used.
Xu, Ping-Xian, and 許平顯. "QUADTREE-BASED BTC-VQ COMPRESSION." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/68729136187374137773.
Full textNarasimaham, M. V. S. Phani. "Modified VQ Coders For ECG." Thesis, 1998. http://etd.iisc.ernet.in/handle/2005/2178.
Full textBooks on the topic "VQ"
Carmen Gloria de las Heras. A user's guide to the volitional questionnaire (VQ) (version 3.0). [Chicago]: Model of Human Occupation Clearinghouse, Department of Occupational Therapy, College of Health and Human Development Sciences, University of Illinois at Chicago, 1998.
Find full textHadrill, Romla. Administrative staff and vocational qualifications: The feasibility of adopting the VQ framework for their professional development. Sheffield: UCoSDA, 1995.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. A comparison of model-based VQ compression with other VQ approaches. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. Model-based VQ for image data archival, retrieval and distribution. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textConditional entropy-constrained residual VQ with application to image coding. [Washington, DC: National Aeronautics and Space Administration, 1996.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. Model-based VQ for image data archival, retrieval and distribution. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textC, Tilton James, and United States. National Aeronautics and Space Administration., eds. Model-based VQ for image data archival, retrieval and distribution. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textBook chapters on the topic "VQ"
Huang, Hsiang-Cheh, Kang K. Yen, Yu-Hsiu Huang, Jeng-Shyang Pan, and Kuang-Chih Huang. "Improved Image Coding with Classified VQ and Side-Match VQ." In Lecture Notes in Computer Science, 411–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553939_59.
Full textSwaszek, Peter. "Syndrome-based VQ codebooks." In Coding and Quantization, 75–81. Providence, Rhode Island: American Mathematical Society, 1993. http://dx.doi.org/10.1090/dimacs/014/08.
Full textAhsan, Javed, John N. Mordeson, and Mohammad Shabir. "(∈, ∈ Vq)-Fuzzy Ideals in Semirings." In Fuzzy Semirings with Applications to Automata Theory, 105–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27641-5_6.
Full textWang, Feng-Hsing, Jeng-Shyang Pan, and Lakhmi C. Jain. "Watermarking Based on Multiple Description VQ." In Innovations in Digital Watermarking Techniques, 131–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03187-8_9.
Full textLee, Chin-Feng, Chin-Chen Chang, and Qun-Feng Zeng. "VQ Compression Enhancer with Huffman Coding." In Advances in Intelligent Systems and Computing, 101–8. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6487-6_13.
Full textChatterjee, Rishav, Alenrex Maity, and Rajdeep Chatterjee. "Image Compression Using VQ for Lossy Compression." In Advances in Intelligent Systems and Computing, 241–46. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1501-5_20.
Full textBenyassine, Adil, Hüseyin Abut, and Gonçalo C. Marques. "Finite-State VQ Excitations for CELP Coders." In Speech and Audio Coding for Wireless and Network Applications, 271–76. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3232-3_35.
Full textMartín-Smith, P., F. Juris Pelayo, E. Ros, and A. Prieto. "Supervised VQ learning based on temporal inhibition." In Lecture Notes in Computer Science, 610–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0098219.
Full textJiayin, Peng. "( ∈ , ∈ vq)-Fuzzy Filters of Lattice Implication Algebras." In Communications in Computer and Information Science, 397–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23226-8_52.
Full textQiao, Jianping, Ju Liu, and Guoxia Sun. "A VQ-Based Blind Super-Resolution Algorithm." In Lecture Notes in Computer Science, 320–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538059_34.
Full textConference papers on the topic "VQ"
Tuncel, Ertem, Hakan Ferhatosmanoglu, and Kenneth Rose. "VQ-index." In the tenth ACM international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/641007.641117.
Full textHabibi, Ali. "Optimization of VQ architectures." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Andrew G. Tescher. SPIE, 1993. http://dx.doi.org/10.1117/12.158646.
Full textLinden, J. "Channel optimized predictive VQ." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.759758.
Full textFarley, Daniel, Abhijit Dasgupta, and Jo Caers. "Qualification of a System-in-Package (SiP): A Physics-of-Failure (PoF) Perspective." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14706.
Full textPham, T., and D. Tran. "VQ-based written language identification." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224752.
Full textGrana, M., I. Echave, and J. Ruiz-Cabello. "VQ based Bayesian image filtering." In Proceedings of 7th IEEE International Conference on Image Processing. IEEE, 2000. http://dx.doi.org/10.1109/icip.2000.899446.
Full textRizzo, F., J. A. Storer, and B. Carpentieri. "Improving single-pass adaptive VQ." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.757514.
Full textYen, C. C., Yukon K. Chang, and J. H. Jeng. "Fast classification scheme for VQ." In International Symposium on Optical Science and Technology, edited by Andrew G. Tescher. SPIE, 2002. http://dx.doi.org/10.1117/12.452145.
Full textLiu, Yi, Liangming Mou, and Chunzhen Zhong. "(∈, ∈ Vq)-IVIF filter on residuated lattices." In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015. http://dx.doi.org/10.1109/fskd.2015.7381905.
Full textBradley, Ken. "Coherent (VQ) Detector Error Analysis Software." In 25th ARFTG Conference Digest. IEEE, 1985. http://dx.doi.org/10.1109/arftg.1985.323631.
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