Results 131 to 140 of about 460,640 (165)
Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding. [PDF]
Nat CommunBonetti L +6 more
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A new predictive coding model for a more comprehensive account of delusions. [PDF]
Lancet PsychiatryHarding JN +5 more
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Differing Pattern of Mismatch Negativity Responses in Clinical and Nonclinical Voice Hearers Challenge Predictive Coding Accounts of Psychosis. [PDF]
Biol Psychiatry Glob Open SciErickson MA +5 more
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Predictive coding model can detect novelty on different levels of representation hierarchy
Li TE, Tang M, Bogacz R.
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WIREs Cognitive Science, 2011
AbstractPredictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons.
Yanping, Huang, Rajesh P N, Rao
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AbstractPredictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons.
Yanping, Huang, Rajesh P N, Rao
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Interweaved Prediction for Video Coding
IEEE Transactions on Image Processing, 2020In the emerging next generation video coding standard Versatile Video Coding (VVC) developed by the Joint Video Exploration Team (JVET), sub-block-based inter-prediction plays a key role in promising coding tools such as Affine Motion Compensation (AMC) and sub-block-based Temporal Motion Vector Prediction (sbTMVP).
Kai Zhang +5 more
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IEEE Transactions on Information Theory, 1955
In Part I predictive coding was defined and messages, prediction, entropy, and ideal coding were discussed. In the present paper the criterion to be used for predictors for the purpose of predictive coding is defined: that predictor is optimum in the information theory (IT) sense which minimizes the entropy of the average error-term distribution ...
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In Part I predictive coding was defined and messages, prediction, entropy, and ideal coding were discussed. In the present paper the criterion to be used for predictors for the purpose of predictive coding is defined: that predictor is optimum in the information theory (IT) sense which minimizes the entropy of the average error-term distribution ...
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Adaptive code excited predictive coding
IEEE Transactions on Signal Processing, 1992A novel way to use the code excited linear prediction (CELP) concept that decreases the processing load while keeping the same speech quality is discussed. Rather than performing individual weighting of each candidate sequence, a global implementation of the perceptual weighting function at the codebook level is proposed.
C.R. Galand, J.E. Menez, M.M. Rosso
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Proceedings of 1994 37th Midwest Symposium on Circuits and Systems, 2002
This paper describes the first stage of a two stage lossless data compression algorithm. The first stage consists of a lossless adaptive predictor. The term lossless implies that the original data can be recovered exactly. The second stage employs arithmetic coding. Results are presented for a seismic data base.
J.W. McCoy, N. Magotra, S. Stearns
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This paper describes the first stage of a two stage lossless data compression algorithm. The first stage consists of a lossless adaptive predictor. The term lossless implies that the original data can be recovered exactly. The second stage employs arithmetic coding. Results are presented for a seismic data base.
J.W. McCoy, N. Magotra, S. Stearns
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Proceedings of the 33rd Midwest Symposium on Circuits and Systems, 2002
A new form of predictive quantization, dubbed quantized predictive coding (QPC), is presented. One version uses variable-length coding and another uses fixed-length coding. For autoregressive sources, it is shown both analytically and experimentally that the performance of QPC with (without) entropy-coding is, essentially, the same as that of DPCM ...
D.H. Lee, D.L. Neuhoff
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A new form of predictive quantization, dubbed quantized predictive coding (QPC), is presented. One version uses variable-length coding and another uses fixed-length coding. For autoregressive sources, it is shown both analytically and experimentally that the performance of QPC with (without) entropy-coding is, essentially, the same as that of DPCM ...
D.H. Lee, D.L. Neuhoff
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