Compression Model(压缩模型)研究综述
Compression Model 压缩模型 - Experimental results demonstrate that both the arithmetic encoding and decoding can be accelerated while preserving the rate-distortion performance of compression model. [1] Compression models had well evaluated the compaction behavior of FR, SS, CS and their corresponding mixture with R2 ≥ 0. [2] The compression models include coding steps based on binary binomials. [3] Results revealed no significant difference in the necrotic areas among different groups, and the compression model of the ex vivo spinal cord in the DSGRC had high consistency and stability. [4] The proposed method uses Image Segmentation based Compression Model with Pixel Interchange Encryption (ISbCPIE) Model for providing high security to the Image transmitted in the network. [5] In a rat balloon-compression model of SCI, the effect of daily RAPA (5 mg/kg; IP) and pp242 (5 mg/kg; IP) treatment on inflammatory responses and autophagy was observed. [6] Our experimental results show that our compression model, MOtionless VIdeo Codec (MOVI-Codec), learns how to efficiently compress videos without computing motion and outperforms the video coding standard H. [7] A CFD decompression model with considering external flow field is established based on the non-equilibrium phase transition. [8] This work proposes highly complex and novel Generative Adversarial BTC (GA-BTC) compression models with multiple variances. [9] van Wyk put forward a compression model of fibrous materials utilizing a library of analytical approaches, including the continuum mechanics, stereological, geometrical probability, least square method, and excluded area concept. [10] Based on these functional and histological parameters, and taking the animal's welfare into account, the 40 g weight can be considered as an upper limit for severe traumatic injury in this compression model. [11] As we upgrade the GCN to activate a directed edge, the compression model with the GCN layers can distinguish between parent and child nodes in a dependency tree when aggregating adjacent nodes. [12] A computational fluid dynamics (CFD) decompression model based on the non-equilibrium phase transition and Span–Wagner equation of state (EoS) was developed to study the effects of actual flowing state within the pipeline on the transient behaviour of liquid CO2 decompression. [13] We evaluated elezanumab, a human anti-RGMa monoclonal antibody, in a novel, newly characterized non-human primate (NHP) hemicompression model of thoracic SCI. [14] The use of this contusion-compression model of SCI may help advance the preclinical assessment of acute and chronic SCI pain and lead to a better understanding of mechanisms contributing to this pain. [15] Hyperspectral images (HSIs) must be preprocessed by a compression model, which reduces the pressure of storing and transmitting huge data in applications. [16] It was determined that a pure low-speed bending and compression model does not produce clinically relevant fracture patterns, and that higher energy mechanisms are required. [17] Furthermore, the idea of multi Tensor Train decomposition is proposed to improve the performance of the compression model. [18] Adult female Wistar rats were used to induce SCI by using a compression model and were randomly assigned to the following four experimental groups: SCI, Vehicle, hEnSC, and OPC. [19] To simulate combined impact-compression, we developed in the 1970s the acute clip impact-compression model, one of the first non-transection models in the rodent. [20] Thus, the aim of this pilot study was to test feasibility using a rat ASDH decompression model with two clinically relevant transplantation methods. [21] The dynamic pressure at the crack tip is determined numerically from gas decompression model. [22] Considering current experimental data, a compression model for soft soil considering the influence of temperature is discussed. [23] No studies, to date, have examined stability of bony Bankart repair with more physiologic concavity-compression model. [24] This meta-analysis of animal studies of cauda equina compression and subsequent decompression models relationships between compression parameters and electrophysiological function. [25] This compression model is vital to efficiently learn policies, especially when learning on embedded systems. [26] Conclusions: In this orbital decompression model, both ultrasonic and rotational drills induced a rise in temperature. [27] BACKGROUND CONTEXT The use of zero-profile devices and the need for posterior fixation in conjunction with a cervical hybrid decompression model has yet to be investigated. [28] Most of the compression models consider the low rank or sparse property of weights independently, however, they cannot capture the features accurately and thus become inefficient. [29] The proposed model is compared with other compression models in terms of maximum error, root mean square error, percentage root mean difference, and normalized percentage root mean difference showing significant improvements in performance parameters. [30] Seven descriptors from a series of compression models for powder compressibility, compactibility and tabletability analysis were included in the CBCS. [31] Our authorship obfuscation approach defeats state-of-the-art verification approaches, including unmasking and compression models, while keeping text changes at a minimum. [32] However, the study found that when using a given generative adversarial network (GAN) compression model, the color image compression performance is better than the gray image. [33] Prediction of compression quality of an image at a pre-encoding stage plays a vital role in any compression model because not only does it greatly reduce the associated costs, but also provides a basis for further optimization of the compression algorithm employed. [34] Compared with the compression models of DenseNet and other CNNs, we use less complexity in the model and achieve higher or similar accuracy. [35]实验结果表明，在保持压缩模型的率失真性能的同时，算术编码和解码都可以得到加速。 [1] 压缩模型很好地评估了 FR、SS、CS 及其对应的 R2 ≥ 0 混合物的压实行为。 [2] 压缩模型包括基于二进制二项式的编码步骤。 [3] 结果显示，不同组间坏死面积无显着差异，DSGRC离体脊髓受压模型具有较高的一致性和稳定性。 [4] 所提出的方法使用基于图像分割的压缩模型和像素交换加密（ISbCPIE）模型为网络中传输的图像提供高安全性。 [5] 在 SCI 的大鼠球囊压缩模型中，观察到每日 RAPA（5 mg/kg；IP）和 pp242（5 mg/kg；IP）治疗对炎症反应和自噬的影响。 [6] 我们的实验结果表明，我们的压缩模型 MOtionless VIdeo Codec (MOVI-Codec) 学习了如何在不计算运动的情况下有效地压缩视频，并且优于视频编码标准 H. [7] 基于非平衡相变建立了考虑外部流场的CFD减压模型。 [8] 这项工作提出了具有多个方差的高度复杂和新颖的生成对抗 BTC (GA-BTC) 压缩模型。 [9] van Wyk 利用分析方法库提出了纤维材料的压缩模型，包括连续介质力学、立体学、几何概率、最小二乘法和排除区域概念。 [10] 基于这些功能和组织学参数，并考虑到动物的福利，40 g 的重量可以被认为是该压缩模型中严重创伤性损伤的上限。 [11] 当我们升级 GCN 以激活有向边时，具有 GCN 层的压缩模型可以在聚合相邻节点时区分依赖树中的父节点和子节点。 [12] 开发了基于非平衡相变和斯潘-瓦格纳状态方程（EoS）的计算流体动力学（CFD）减压模型，用于研究管道内实际流动状态对液态CO2减压瞬态行为的影响。 [13] 我们在一种新的、新表征的非人灵长类动物 (NHP) 胸部 SCI 半压缩模型中评估了 elezanumab，一种人抗 RGMa 单克隆抗体。 [14] 使用这种 SCI 的挫伤-压缩模型可能有助于推进对急性和慢性 SCI 疼痛的临床前评估，并有助于更好地了解导致这种疼痛的机制。 [15] 高光谱图像（HSI）必须通过压缩模型进行预处理，从而减少应用程序中存储和传输大量数据的压力。 [16] 已确定纯低速弯曲和压缩模型不会产生临床相关的骨折模式，并且需要更高的能量机制。 [17] 此外，提出了多张量训练分解的思想，以提高压缩模型的性能。 [18] 成年雌性 Wistar 大鼠使用压缩模型诱导 SCI，并随机分配到以下四个实验组：SCI、Vehicle、hEnSC 和 OPC。 [19] 为了模拟联合冲击压缩，我们在 1970 年代开发了急性夹子冲击压缩模型，这是啮齿动物中最早的非横断模型之一。 [20] 因此，这项试点研究的目的是测试使用具有两种临床相关移植方法的大鼠 ASDH 减压模型的可行性。 [21] 裂纹尖端的动态压力由气体减压模型数值确定。 [22] 结合现有实验数据，讨论了考虑温度影响的软土压缩模型。 [23] 迄今为止，还没有研究用更具生理性的凹面压缩模型检查骨性 Bankart 修复的稳定性。 [24] 这项对马尾神经压缩和随后的减压模型的动物研究的荟萃分析压缩参数和电生理功能之间的关系。 [25] 这种压缩模型对于有效学习策略至关重要，尤其是在嵌入式系统上学习时。 [26] 结论：在这个轨道减压模型中，超声波和旋转钻头都会引起温度升高。 [27] 背景背景 零轮廓装置的使用以及后固定与颈椎混合减压模型的结合还有待研究。 [28] 大多数压缩模型独立考虑权重的低秩或稀疏特性，但是它们不能准确地捕获特征，因此效率低下。 [29] 所提出的模型在最大误差、均方根误差、百分比均方根差和归一化百分比均方根差方面与其他压缩模型进行了比较，显示出性能参数的显着改进。 [30] CBCS 中包括了用于粉末可压缩性、可压实性和可压片性分析的一系列压缩模型中的 7 个描述符。 [31] 我们的作者身份混淆方法击败了最先进的验证方法，包括揭露和压缩模型，同时将文本更改保持在最低限度。 [32] 然而，研究发现，当使用给定的生成对抗网络（GAN）压缩模型时，彩色图像的压缩性能优于灰度图像。 [33] 在预编码阶段预测图像的压缩质量在任何压缩模型中都起着至关重要的作用，因为它不仅大大降低了相关成本，而且为进一步优化所采用的压缩算法提供了基础。 [34] 与 DenseNet 和其他 CNN 的压缩模型相比，我们在模型中使用了更少的复杂度，并获得了更高或相似的准确度。 [35]
spinal cord injury
Conclusion: Apipuncture treatment induces locomotor recovery and neuroprotection after the compression model of spinal cord injury. [1] In a study published in EBioMedicine, Zheng and colleagues show the neuroprotective effects of carbon monoxide releasing molecule-3 (CORM3) in a compression model of thoracic spinal cord injury in rodents [3]. [2] Objective To assess the role of miRNA-21 and miRNA-223 in a balloon-compression model of spinal cord injury (SCI). [3]结论：针灸治疗可促进脊髓损伤受压模型后的运动恢复和神经保护作用。 [1] 在 EBioMedicine 上发表的一项研究中，Zheng 及其同事在啮齿动物胸脊髓损伤的压缩模型中展示了一氧化碳释放分子 3 (CORM3) 的神经保护作用 [3]。 [2] nan [3]
Image Compression Model 图像压缩模型
On the whole, our model performs favorably against the existing image compression standards and recent deep image compression models. [1] This paper proposes an end-to-end deep image compression model with a frequency domain loss function. [2] By building on top of an existing deep image compression model, we are able to demonstrate a bitrate reduction of as much as 31% over MSE optimization, given a specified perceptual quality (VMAF) level. [3] For this reason, we simplify the topic with the consideration that people will strict more on interested region, so a ROI(region of interest) based image compression model is proposed with team name ‘Sub201’. [4] Furthermore, our user study confirms that our reconstructions are preferable to state-of-the-art GAN-based image compression model. [5] The objective of this paper is to improve the quality of compressed images and suppress blocking artifacts by improving the JPEG image compression model at low bit rates. [6] Experimental results demonstrate that our full image compression model outperforms standard VVC/H. [7] We use two image compression models and a self texture transfer model. [8] However, to develop the quality of the images during compression, this paper intends to present an enhanced image compression model, which is dependent on hybrid optimization algorithm by merging Lion Algorithm (LA) and Jaya Algorithm (JA). [9] In this paper, we propose an end-to-end image compression model to defend adversarial examples: ComDefend. [10] Our model also shows comparable and sometimes better performance than the state-of-the-art learned image compression models that deploy multiple networks trained for varying rates. [11] A collection of image compression models of disc and ring with a monotonic incremental load was generated. [12]总体而言，我们的模型优于现有的图像压缩标准和最近的深度图像压缩模型。 [1] 本文提出了一种具有频域损失函数的端到端深度图像压缩模型。 [2] 通过在现有深度图像压缩模型的基础上构建，我们能够证明在指定感知质量 (VMAF) 级别的情况下，比特率比 MSE 优化降低了多达 31%。 [3] 出于这个原因，考虑到人们对感兴趣区域会更加严格，我们简化了主题，因此提出了一种基于 ROI（感兴趣区域）的图像压缩模型，团队名称为“Sub201”。 [4] 此外，我们的用户研究证实，我们的重建比最先进的基于 GAN 的图像压缩模型更可取。 [5] 本文的目的是通过在低比特率下改进 JPEG 图像压缩模型来提高压缩图像的质量并抑制块状伪影。 [6] nan [7] nan [8] 然而，为了在压缩过程中提高图像质量，本文打算提出一种增强的图像压缩模型，该模型依赖于混合优化算法，融合了 Lion 算法 (LA) 和 Jaya 算法 (JA)。 [9] 在本文中，我们提出了一种端到端的图像压缩模型来保护对抗样本：ComDefend。 [10] nan [11] nan [12]
Bond Compression Model 键压缩模型
Additionally, elastic moduli and Poisson’s ratio were compared with the theoretically measured data using Makishima and Mackenzie, Rocherulle and Bond compression models. [1] The elastic properties were predicted and quantitatively analyzed by taking into account the effect of boron coordination number on the compositional and structural parameters involved in Makishima–Mackenzie's theory, ring deformation model and bond compression model. [2] 0 GPa which includes Makishima and Mackenzie, rocherulle, ring deformation and bond compression models. [3] The influence of adding PbF2 on the elastic properties and radiation shielding competences of nine different samples labelled as TPb10-TPb90 with the form of (100-X)TeO2-XPbF2: (where X = 10–90 in steps of 10 mol%) glasses and glass-ceramics was investigated via the bond compression model and WinXcom software. [4] Majority of Poisson's ratios are predictable from Makishima-Mackenzie's theory, bond compression model and Rocherulle et al. [5] The experimental elastic moduli were correlated and compared with the theoretically calculated elastic moduli using Makishima-Mackenzie and Bond Compression model. [6] The bulk modulus calculated using bond compression model suggest that the glass system would be ideal to repair currently existing construction material without compromising the structural integrity. [7]此外，弹性模量和泊松比与使用 Makishima 和 Mackenzie、Rocherulle 和 Bond 压缩模型的理论测量数据进行了比较。 [1] 通过考虑硼配位数对Makishima-Mackenzie理论、环变形模型和键压缩模型中涉及的组成和结构参数的影响，预测和定量分析了弹性性能。 [2] nan [3] nan [4] nan [5] 使用 Makishima-Mackenzie 和 Bond Compression 模型将实验弹性模量与理论计算的弹性模量相关并进行比较。 [6] 使用粘合压缩模型计算的体积模量表明，玻璃系统将是修复现有建筑材料而不损害结构完整性的理想选择。 [7]
Sentence Compression Model 句子压缩模型
In this paper, we design a hybrid extractive sentence compression model combining a probability language model and a parse tree language model for compressing sentences by guaranteeing the syntax correctness of the compression results. [1] Now a day's people do not have time to read large text by using this sentence compression model we can generate the small and detailed paragraph which conveys the same meaning of the original paragraph. [2] Most recent works on sentence compression models define the problem as an integer linear programming problem and solve it using an external ILP-solver which suffers from slow running time. [3] In this paper, we firstly establish a new sentence compression model based on the probability model and the parse tree model. [4] In this work, we have contributed a novel abstractive sentence compression model which generates diverse compressed sentence with paraphrase using a neural seq2seq encoder decoder model. [5]在本文中，我们设计了一种混合抽取式句子压缩模型，结合了概率语言模型和解析树语言模型，通过保证压缩结果的语法正确性来压缩句子。 [1] 现在一天的人都没有时间阅读大文本，使用这种句子压缩模型，我们可以生成与原始段落相同含义的小而详细的段落。 [2] 最近关于句子压缩模型的工作将问题定义为整数线性规划问题，并使用运行时间缓慢的外部 ILP 求解器来解决它。 [3] 在本文中，我们首先建立了一种基于概率模型和解析树模型的新句子压缩模型。 [4] nan [5]