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	Kernelized product quantization 期刊论文 OAI收割 NEUROCOMPUTING, 2017, 卷号: 235, 页码: 15-26 作者: Liu, Jie; Zhang, Yichao; Zhou, Jianshe; Shi, Jinsheng; Zhang, Yongdong \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2019/12/12 High-dimensional similarity search Compact binary coding Product quantization Composite kernel
	The Perception of Probability 期刊论文 OAI收割 PSYCHOLOGICAL REVIEW, 2014, 卷号: 121, 期号: 1, 页码: 96-123 作者: Gallistel, C. R.; Krishan, Monika; Liu, Ye; Miller, Reilly; Latham, Peter E. 收藏 \| 浏览/下载：28/0 \| 提交时间：2015/09/18 change-point representation Bayesian model comparison simplicity-adequacy trade-off retrospective revision compact coding
	Image compression based on biorthogonal wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, October 12, 2005 - October 14, 2005, Beijing, China 作者: Gao Y.; Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 A method for image compression of biorthogonal wavelet transform based on lifting scheme with SPIHT (Set Partitioning In Hierachical Trees) is proposed in this paper. Wavelet transform affords wide space for image coding algorithms because of its excellent space-frequency localization characterizations. The compact supported symmetrical and biorthogonal wavelet has linear phase so it is applied on image compression area widely. The lifting scheme is an efficient method for constructing the wavelet filter after multiresolution. Under the condition of biorthogonal biorthogonal wavelet base can be constructed freely according to the wavelet performance. And it can quicken the implementation speed of the wavelet transform. Analyzing the algorithm of lifting scheme is applying for constructing biorthogonal wavelet. Experimental results indicate that the method of the biorthogonal wavelet that has good performances with SPIHT is applying for image compression so as image synthesis performs well. 2005 IEEE.