2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings
DOI: 10.1109/icassp.2006.1660356
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Face Recognition Using Pseudo-2D Ergodic HMM

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“…Podilchuk and Xiaoyu [12] obtained a 94% rate of success, whilst Matos [11] reached 99.25%. Despite Kumar et al [10] and Bicego et al [3] reached 100%, they use the DCT in conjunction with Hidden Markov Models (HMMs), which leads to a system with a high computational cost.…”
Section: Introductionmentioning
confidence: 99%
“…Podilchuk and Xiaoyu [12] obtained a 94% rate of success, whilst Matos [11] reached 99.25%. Despite Kumar et al [10] and Bicego et al [3] reached 100%, they use the DCT in conjunction with Hidden Markov Models (HMMs), which leads to a system with a high computational cost.…”
Section: Introductionmentioning
confidence: 99%