It is well established that in most species, the hippocampus shows extensive postnatal development. This delayed maturation has a number of implications, which can be thought of in three categories. First, the late ma...
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It is well established that in most species, the hippocampus shows extensive postnatal development. This delayed maturation has a number of implications, which can be thought of in three categories. First, the late maturation has the direct effect of depriving the developing organism of at least some of the functions of the hippocampus, in particular place learning, context coding and in humans, episodic memory. Second, such learning that does occur very early in life, prior to hippocampal maturation, will largely bear the imprint and properties of those brain systems that, unlike the hippocampus, are fully functional early in life. Third, the active state of development of hippocampus in the first weeks and months of life render this structure susceptible to disruption by environmental and/or chromosomal factors. In this article, I discuss my efforts, with many colleagues over the past 40 years, to understand each of these implications.
In this paper, a new algorithm for lossless compression of hyperspectral images is proposed. The spectral redundancy in hyperspectral images is exploited using a context-match method driven by the correlation between ...
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In this paper, a new algorithm for lossless compression of hyperspectral images is proposed. The spectral redundancy in hyperspectral images is exploited using a context-match method driven by the correlation between adjacent bands. This method is suitable for hyperspectral images in the band-sequential format. Moreover, this method compares favorably with the recent proposed lossless compression algorithms in terms of compression, with a lower complexity.
This paper describes a novel lossless compression method for point cloud geometry, building on a recent lossy compression method that aimed at reconstructing only the bounding volume of a point cloud. The proposed sch...
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ISBN:
(纸本)9781665441155
This paper describes a novel lossless compression method for point cloud geometry, building on a recent lossy compression method that aimed at reconstructing only the bounding volume of a point cloud. The proposed scheme starts by partially reconstructing the geometry from the two depthmaps associated to a single projection direction. The partial reconstruction obtained from the depthmaps is completed to a full reconstruction of the point cloud by sweeping section by section along one direction and encoding the points which were not contained in the two depthmaps. The main ingredient is a list-based encoding of the inner points (situated inside the feasible regions) by a novel arithmetic three dimensional context coding procedure that efficiently utilizes rotational invariances present in the input data. State-of-the-art bits-per-voxel results are obtained on benchmark datasets.
In the paper an efficient and time-effective lossless coding technique is presented. The method is context-based, three principal contexts are defined, for neighborhoods with special properties three auxiliary context...
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ISBN:
(纸本)9781424416325
In the paper an efficient and time-effective lossless coding technique is presented. The method is context-based, three principal contexts are defined, for neighborhoods with special properties three auxiliary contexts are used. A simple predictor adaptation technique, being extension of ALCM algorithm, is implemented, hence, it is proposed to denote the new method as ALCM(+). A sophisticated formula for correcting the cumulated predictor error combining 8 bias estimators is calculated. Performance of the new algorithm has been tested on the set of 9 widely used benchmark images. It has been shown that indeed, the new technique has been time-effective while it has outperformed the well known methods having reasonable time complexity, like CALIC or JPEG-LS, and has been inferior only to those that are extremely computationally complex.
In the paper modeling stage of a simple and efficient lossless image coding technique intended for use in real-time hardware coding system is described The method is based on predictors blending approach, which is the...
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ISBN:
(纸本)9789537044060
In the paper modeling stage of a simple and efficient lossless image coding technique intended for use in real-time hardware coding system is described The method is based on predictors blending approach, which is the kernel of some the best current lossless coding methods. Additionally, prediction blending is well suited for parallel implementations. The predictor blending is combined with context coding, and bias removal algorithm, the latter one implements both CALIC, and LOCO-I approaches. Experiments show that indeed, the new technique has better performance than the widely known older methods.
This paper describes a novel lossless point cloud compression algorithm that uses a neural network for estimating the coding probabilities for the occupancy status of voxels, depending on wide three dimensional contex...
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ISBN:
(纸本)9781665432870
This paper describes a novel lossless point cloud compression algorithm that uses a neural network for estimating the coding probabilities for the occupancy status of voxels, depending on wide three dimensional contexts around the voxel to be encoded. The point cloud is represented as an octree, with each resolution layer being sequentially encoded and decoded using arithmetic coding, starting from the lowest resolution, until the final resolution is reached. The occupancy probability of each voxel of the splitting pattern at each node of the octree is modeled by a neural network, having at its input the already encoded occupancy status of several octree nodes (belonging to the past and current resolutions), corresponding to a 3D context surrounding the node to be encoded. The algorithm has a fast and a slow version, the fast version selecting differently several voxels of the context, which allows an increased parallelization by sending larger batches of templates to be estimated by the neural network, at both encoder and decoder. The proposed algorithms yield state-of-the-art results on benchmark datasets. The implementation will be available at https://***/marmus12/nnctx
We propose a novel directional lifting-based block-set coding algorithm in this paper. Directional lifting wavelet transform based on region partition is firstly used to remove the correlation along the edges and redu...
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ISBN:
(纸本)9781424414468
We propose a novel directional lifting-based block-set coding algorithm in this paper. Directional lifting wavelet transform based on region partition is firstly used to remove the correlation along the edges and reduce the amount of high-pass subband energy, then a new multi-symbol arithmetic coding based on residual classified context is exploited to code directional information. A context-based block-set partitioning method is proposed to code the directional transformed coefficients. Experimental results show that the proposed algorithm for texture-rich images outperforms JPEG2000 by 1.6dB. Especially, the new algorithm can obtain the PSNR gain which up to 0.4dB, comparing with JPEG2000 (EBCOT) based on directional lifting transform.
Novel ideas for lossless audio coding analyzed in the paper are linked with forward predictor adaptation, and concern optimization of predictors on the basis of zero-order entropy and MMAE criterions, and context soun...
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Novel ideas for lossless audio coding analyzed in the paper are linked with forward predictor adaptation, and concern optimization of predictors on the basis of zero-order entropy and MMAE criterions, and context sound coding. Direct use of the former criterion is linked with exponential growth of optimization procedure, hence, a suboptimal algorithm having polynomial complexity is proposed. It is shown that on average the new types of predictors are better than those obtained by MMSE technique, while two-and three context systems are on average better than a single predictor one. It also appears that 7-bit PARCOR coefficients in the MPEG-4 ALS standard have insufficient precision for some predictor length, and that for very long frames coding results improve with the predictor rank practically in unlimited way.
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