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Face Recognition Using Markov Stationary Features and Vector Quantization Histogram.

, , , and . CSE, page 1934-1938. IEEE Computer Society, (2014)

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Feature facial image recognition using VQ histogram in the DCT domain., , , and . ICDIP, volume 7546 of SPIE Proceedings, page 75460J. SPIE, (2010)Video copy detection using histogram based spatio-temporal features., , , and . CISP-BMEI, page 1-5. IEEE, (2017)Fast encoding method for vector quantization based on sorting elements of codewords to adaptively constructing subvectors., , and . ISCAS, IEEE, (2006)A post-processing method for vector quantization to achieve higher PSNR and nearly constant bit rate., , and . ISCAS (2), page 436-439. IEEE, (2003)A memory-efficient fast encoding method for vector quantization using 2-pixel-merging sum pyramid., , and . ICASSP (3), page 669-672. IEEE, (2004)An improved full-search-equivalent vector quantization method using the law of cosines., , and . IEEE Signal Process. Lett., 11 (2): 247-250 (2004)A 3.7×3.7mm2 310.9mW 105.2msec 512×512-Pixel Phase-Only Correlation Processor., , and . J. Robotics Mechatronics, 17 (4): 395-400 (2005)A fast search method of speaker identification for large population using pre-selection and hierarchical matching., , and . INTERSPEECH, page 290-293. ISCA, (2000)A still image encoder based on adaptive resolution vector quantization employing needless calculation elimination architecture., , , , , , and . ASP-DAC, page 567-568. ACM, (2003)Face Recognition Using Multiple Histogram Features in Spatial and Frequency Domains., , and . SITIS, page 204-208. IEEE Computer Society, (2016)