Fast Search Method Based on Vector Quantization for Raman Spectroscopy Identification

اسناد مشابه

• Accelerating Vector Quantization Based Speaker Identification

  سند علمی۲۰۱۰Muhammad Afzal, Shaiq A. Haq

  Matching of feature vectors extracted from speech sample of an unknown speaker, with models of registered speakers is the most time consuming component of real-time speaker identification systems. Time controlling parameters are size and count of extracted test feature vectors as

• Very Fast Tree-structured Vector Quantization

  سند علمی۲۰۱۶Todd K. Moon

  Very fast tree-structured vector quantization employs scalar quantization decisions at each level, but chooses the dimension on which to quantize based on the coordinate direction of maximum variance. Because the quantization is scalar, searches are no more complex than scalar qu

• Fast photoacoustic-guided depth-resolved Raman spectroscopy: a feasibility study.

  سند علمی۲۰۱۵Optics lettersFei Gao, Yi Hong Ong, Gaoming Li, Xiaohua Feng

  In this Letter, photoacoustic-guided Raman spectroscopy (PARS) is proposed for a fast depth-resolved Raman measurement with accurate depth localization. The approach was experimentally demonstrated to receive both photoacoustic and Raman signals from a three-layer agar phantom ba

• Image reconstruction using Half tone and Kekre’s Fast Codebook Generation Vector Quantization technique

  سند علمی۲۰۱۱Tanuja K. Sarode, Sanjay R. Sange

  Now a day’s transmission of image and video data is gradually increasing. Compression of image data with acceptable image quality is the objective of this paper. To achieve higher Compression Ratio combination of halftone and Kekre’s Fast Codebook Generation (KFCG) Vector Quantiz

• Fast Resampling Using Vector Quantization

  سند علمی۱۹۹۵ICSCPatrick C. Teo, Chase D. Garfinkle

  We present a fast resampling scheme using vector quantiza-tion. Our method diiers from prior work applying vector quantization to speeding up image and volume processing in two essential aspects. First, our method uses blocks with overlapping rather than disjoint extents. Second,

• Adaptable Similarity Search Using Vector Quantization

  سند علمی۲۰۰۱DaWaKChristian Böhm, Hans-Peter Kriegel, Thomas Seidl

  Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular biology or medical image databases. Recently it has been recognized that quantization of feature vec