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Journal articles on the topic 'Joint encoding'

Author: Grafiati

Published: 30 November 2024

Last updated: 31 July 2025

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1

Chapman, Christian, and Daniel W. Bliss. "Upper Bound on the Joint Entropy of Correlated Sources Encoded by Good Lattices." Entropy 21, no. 10 (2019): 957. http://dx.doi.org/10.3390/e21100957.

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Lattices provide useful structure for distributed coding of correlated sources. A common lattice encoder construction is to first round an observed sequence to a `fine’ lattice with dither, then produce the result’s modulo to a `coarse’ lattice as the encoding. However, such encodings may be jointly-dependent. A class of upper bounds is established on the conditional entropy-rates of such encodings when sources are correlated and Gaussian and the lattices involved are a from an asymptotically-well-behaved sequence. These upper bounds guarantee existence of a joint–compression stage which can i

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2

Elbayad, Maha, Laurent Besacier, and Jakob Verbeek. "Joint source–target encoding with pervasive attention." Machine Translation 35, no. 4 (2021): 637–59. http://dx.doi.org/10.1007/s10590-021-09289-7.

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Kondi, L. P., G. Melnikov, and A. K. Katsaggelos. "Joint Optimal Object Shape Estimation and Encoding." IEEE Transactions on Circuits and Systems for Video Technology 14, no. 4 (2004): 528–33. http://dx.doi.org/10.1109/tcsvt.2004.825569.

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Rong, Dang, and Feng Gang. "Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method." Sensors 24, no. 22 (2024): 7289. http://dx.doi.org/10.3390/s24227289.

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To address the problem of low accuracy in joint point estimation in hand pose estimation methods due to the self-similarity of fingers and easy self-obscuration of hand joints, a hand pose estimation method based on coordinate correction and graph convolution is proposed. First, the standard coordinate encoding is improved by generating an unbiased heat map, and the distribution-aware method is used for decoding coordinates to reduce the error in decoding the coordinate encoding of joints. Then, the complex dependency relationship between the joints and the relationship between pixels and join

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Rayes, Ramsey K., Rachel N. Mazorow, Leigh A. Mrotek, and Robert A. Scheidt. "Utility and Usability of Two Forms of Supplemental Vibrotactile Kinesthetic Feedback for Enhancing Movement Accuracy and Efficiency in Goal-Directed Reaching." Sensors 23, no. 12 (2023): 5455. http://dx.doi.org/10.3390/s23125455.

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Recent advances in wearable sensors and computing have made possible the development of novel sensory augmentation technologies that promise to enhance human motor performance and quality of life in a wide range of applications. We compared the objective utility and subjective user experience for two biologically inspired ways to encode movement-related information into supplemental feedback for the real-time control of goal-directed reaching in healthy, neurologically intact adults. One encoding scheme mimicked visual feedback encoding by converting real-time hand position in a Cartesian fram

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Dou Shuaifeng, 窦帅风, 雷鸣 Lei Ming, 沈学举 Shen Xueju, and 林超 Lin Chao. "Joint Fresnel Transform Correlator Based on Phase Encoding." Laser & Optoelectronics Progress 53, no. 12 (2016): 120701. http://dx.doi.org/10.3788/lop53.120701.

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7

Liu, Chen, Feng Li, Xian Sun, and Hongzhe Han. "Attention-Based Joint Entity Linking with Entity Embedding." Information 10, no. 2 (2019): 46. http://dx.doi.org/10.3390/info10020046.

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Entity linking (also called entity disambiguation) aims to map the mentions in a given document to their corresponding entities in a target knowledge base. In order to build a high-quality entity linking system, efforts are made in three parts: Encoding of the entity, encoding of the mention context, and modeling the coherence among mentions. For the encoding of entity, we use long short term memory (LSTM) and a convolutional neural network (CNN) to encode the entity context and entity description, respectively. Then, we design a function to combine all the different entity information aspects

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Zhu, Dan, Zhuyuan Wang, Shenfei Zong, Hui Chen, Peng Chen, and Yiping Cui. "Wavenumber–intensity joint SERS encoding using silver nanoparticles for tumor cell targeting." RSC Adv. 4, no. 105 (2014): 60936–42. http://dx.doi.org/10.1039/c4ra11522h.

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A new optical encoding approach, the wavenumber–intensity joint surface enhanced Raman scattering (SERS) spectral encoding method, was demonstrated by using silver nanoparticles with a core–shell structure.

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Shin, Jaehun, Wonkee Lee, Byung-Hyun Go, Baikjin Jung, Youngkil Kim, and Jong-Hyeok Lee. "Exploration of Effective Attention Strategies for Neural Automatic Post-editing with Transformer." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–17. http://dx.doi.org/10.1145/3465383.

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Automatic post-editing (APE) is the study of correcting translation errors in the output of an unknown machine translation (MT) system and has been considered as a method of improving translation quality without any modification to conventional MT systems. Recently, several variants of Transformer that take both the MT output and its corresponding source sentence as inputs have been proposed for APE; and models introducing an additional attention layer into the encoder to jointly encode the MT output with its source sentence recorded a high-rank in the WMT19 APE shared task. We examine the eff

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Song, Wenjun, Congxian Li, and Qiuwen Zhang. "Rapid CU Partitioning and Joint Intra-Frame Mode Decision Algorithm." Electronics 13, no. 17 (2024): 3465. http://dx.doi.org/10.3390/electronics13173465.

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H.266/Versatile Video Coding (VVC) introduces new techniques that build upon previous standards, proposing a nested multi-type tree quadtree (QTMT). The introduction of this structure significantly enhances video coding efficiency; additionally, the number of directional modes in H.266 has increased by 32 compared to H.265, accommodating a greater variety of texture patterns. However, the changes in the related structures have also led to a significant increase in encoding complexity. To address the issue of excessive computational complexity, this paper proposes a targeted rapid Coding Units

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Gouze, Jean-Noel, Steven C. Ghivizzani, Elvire Gouze, et al. "GENE THERAPY FOR RHEUMATOID ARTHRITIS." Hand Surgery 06, no. 02 (2001): 211–19. http://dx.doi.org/10.1142/s0218810401000709.

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Advances in understanding the biology of rheumatoid arthritis (RA) have opened new therapeutic avenues. One of these, gene therapy, involves the delivery to patients of genes encoding anti-arthritic proteins. This approach has shown efficacy in animal models of RA, and the first human, phase I trial has just been successfully completed. Hand surgery featured prominently in this pioneering study, as a potentially anti-arthritic gene encoding the interleukin-1 receptor antagonist was transferred to the metacarpophalangeal joints of subjects with RA one week before total joint arthroplasty. This

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12

Zheng, Yayu, Fan Zhou, Xiang Tian, and Yaowu Chen. "Lightweight content-adaptive coding in joint analyzing-encoding framework." IEEE Transactions on Consumer Electronics 54, no. 2 (2008): 614–22. http://dx.doi.org/10.1109/tce.2008.4560138.

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13

Javidi, Bahram, and Qing Tang. "Binary encoding of gray scale nonlinear joint transform correlators." Applied Optics 30, no. 11 (1991): 1321. http://dx.doi.org/10.1364/ao.30.001321.

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14

Lee, Chungcheng, and Chulung Chen. "Color pattern recognition using image encoding joint transform correlator." Microwave and Optical Technology Letters 49, no. 7 (2007): 1665–69. http://dx.doi.org/10.1002/mop.22554.

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15

Pinardi, Mattia, Alessia Noccaro, Luigi Raiano, Domenico Formica, and Giovanni Di Pino. "Comparing end-effector position and joint angle feedback for online robotic limb tracking." PLOS ONE 18, no. 6 (2023): e0286566. http://dx.doi.org/10.1371/journal.pone.0286566.

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Somatosensation greatly increases the ability to control our natural body. This suggests that supplementing vision with haptic sensory feedback would also be helpful when a user aims at controlling a robotic arm proficiently. However, whether the position of the robot and its continuous update should be coded in a extrinsic or intrinsic reference frame is not known. Here we compared two different supplementary feedback contents concerning the status of a robotic limb in 2-DoFs configuration: one encoding the Cartesian coordinates of the end-effector of the robotic arm (i.e., Task-space feedbac

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Foldes, Tamas, Lorena Santamaria, and Penny Lewis. "Sleep-related benefits to transitive inference are modulated by encoding strength and joint rank." Learning & Memory 30, no. 9 (2023): 201–11. http://dx.doi.org/10.1101/lm.053787.123.

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Transitive inference is a measure of relational learning that has been shown to improve across sleep. Here, we examine this phenomenon further by studying the impact of encoding strength and joint rank. In experiment 1, participants learned adjacent premise pairs and were then tested on inferential problems derived from those pairs. In line with prior work, we found improved transitive inference performance after retention across a night of sleep compared with wake alone. Experiment 2 extended these findings using a within-subject design and found superior transitive inference performance on a

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17

Kim, Man-Seok, Jo-Hwan Kim, Min-Goo Choi, and Jong-Wook Kim. "A New Trajectory Generation Scheme for Direction Turning in Biped Walking." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 5 (2010): 550–54. http://dx.doi.org/10.20965/jaciii.2010.p0550.

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This paper proposes a new trajectory generation scheme for direction turning during biped walking based on our previous study and experiences. For turning in walking, two joints in the sagittal plane should be added in the robot model, and each joint should rotate appropriately considering stability and landing precision. All the angular trajectories for 12 joints in the lower body are approximated by blending polynomials optimized by univariate Dynamic Encoding Algorithm for Searches (uDEAS). The proposed walking scheme is validated via simulation.

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18

Kaneguchi, A., and J. Ozawa. "Inflammation and Fibrosis Induced by Joint Remobilization, and Relevance to Progression of Arthrogenic Joint Contracture: A Narrative Review." Physiological Research 71, no. 4 (2022): 447–55. http://dx.doi.org/10.33549/physiolres.934876.

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Joint immobilization is frequently administered after fractures and ligament injuries and can cause joint contracture as a side effect. The structures responsible for immobilization-induced joint contracture can be roughly divided into muscular and articular. During remobilization, although myogenic contracture recovers spontaneously, arthrogenic contracture is irreversible or deteriorates further. Immediately after remobilization, an inflammatory response is observed, characterized by joint swelling, deposit formation in the joint space, edema, inflammatory cell infiltration, and the upregula

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LUQUE, NICETO R., JESÚS A. GARRIDO, JARNO RALLI, JUANLU J. LAREDO, and EDUARDO ROS. "FROM SENSORS TO SPIKES: EVOLVING RECEPTIVE FIELDS TO ENHANCE SENSORIMOTOR INFORMATION IN A ROBOT-ARM." International Journal of Neural Systems 22, no. 04 (2012): 1250013. http://dx.doi.org/10.1142/s012906571250013x.

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In biological systems, instead of actual encoders at different joints, proprioception signals are acquired through distributed receptive fields. In robotics, a single and accurate sensor output per link (encoder) is commonly used to track the position and the velocity. Interfacing bio-inspired control systems with spiking neural networks emulating the cerebellum with conventional robots is not a straight forward task. Therefore, it is necessary to adapt this one-dimensional measure (encoder output) into a multidimensional space (inputs for a spiking neural network) to connect, for instance, th

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20

WANG, Changjing, Xianghui ZENG, Yuxin WANG, Yuxin SUN, and Zhengkang ZUO. "The Joint Model of Multi-Intent Detection and Slot Filling Based on Bidirectional Interaction Structure." Wuhan University Journal of Natural Sciences 30, no. 1 (2025): 21–31. https://doi.org/10.1051/wujns/2025301021.

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Intent detection and slot filling are two important components of natural language understanding. Because their relevance, joint training is often performed to improve performance. Existing studies mostly use a joint model of multi-intent detection and slot-filling with unidirectional interaction, which improves the overall performance of the model by fusing the intent information in the slot-filling part. On this basis, in order to further improve the overall performance of the model by exploiting the correlation between the two, this paper proposes a joint multi-intent detection and slot-fil

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21

Dai Chaoyue, 戴朝约, 葛鹏 Ge Peng, 李奇 Li Qi, 冯华君 Feng Huajun, and 徐之海 Xu Zhihai. "Image Displacement Measurement Using Double Phase-Encoding Joint Transform Correlator." Acta Optica Sinica 31, no. 7 (2011): 0712004. http://dx.doi.org/10.3788/aos201131.0712004.

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22

Yu, F. T. S., Guowen Lu, Mingzhe Lu, and Dazun Zhao. "Application of position encoding to a complex joint transform correlator." Applied Optics 34, no. 8 (1995): 1386. http://dx.doi.org/10.1364/ao.34.001386.

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23

Jung, Bongsoo. "Joint motion vector encoding scheme with a pooled macroblock type." Optical Engineering 47, no. 12 (2008): 120501. http://dx.doi.org/10.1117/1.3046713.

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24

Plass, John, EunSeon Ahn, Vernon L. Towle, et al. "Joint Encoding of Auditory Timing and Location in Visual Cortex." Journal of Cognitive Neuroscience 31, no. 7 (2019): 1002–17. http://dx.doi.org/10.1162/jocn_a_01399.

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Co-occurring sounds can facilitate perception of spatially and temporally correspondent visual events. Separate lines of research have identified two putatively distinct neural mechanisms underlying two types of crossmodal facilitations: Whereas crossmodal phase resetting is thought to underlie enhancements based on temporal correspondences, lateralized occipital evoked potentials (ERPs) are thought to reflect enhancements based on spatial correspondences. Here, we sought to clarify the relationship between these two effects to assess whether they reflect two distinct mechanisms or, rather, tw

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25

Gao, Guangchun, Lina Shang, and Kai Xion. "Study on joint speech encoding technology based on compressed sensing." International Journal of Multimedia and Ubiquitous Engineering 9, no. 7 (2014): 47–60. http://dx.doi.org/10.14257/ijmue.2014.9.7.05.

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26

Alaoui-Fdili, Othmane, François-Xavier Coudoux, Youssef Fakhri, Patrick Corlay, and Driss Aboutajdine. "Energy-efficient joint video encoding and transmission framework for WVSN." Multimedia Tools and Applications 77, no. 4 (2017): 4509–41. http://dx.doi.org/10.1007/s11042-017-4904-6.

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27

Zhu, Qiang, Cheng Hong, Yajie Meng, Huali Yang, and Weizhong Zhao. "Joint extraction of biomedical overlapping triples through feature partition encoding." Expert Systems with Applications 241 (May 2024): 122723. http://dx.doi.org/10.1016/j.eswa.2023.122723.

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28

Wang, Tianyu, Meng Xiang, Fei Liu, et al. "Multi-Aperture Joint-Encoding Fourier Ptychography for a Distributed System." Remote Sensing 16, no. 6 (2024): 1017. http://dx.doi.org/10.3390/rs16061017.

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High-resolution infrared remote sensing imaging is critical in planetary exploration, especially under demanding engineering conditions. However, due to diffraction, the spatial resolution of conventional methods is relatively low, and the spatial bandwidth product limits imaging systems’ design. Extensive research has been conducted with the aim of enhancing spatial resolution in remote sensing using a multi-aperture structure, but obtaining high-precision co-phase results using a sub-aperture remains challenging. A new high-resolution imaging method utilizing multi-aperture joint-encoding Fo

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29

McGibbon, Chris A. "A biomechanical model for encoding joint dynamics: applications to transfemoral prosthesis control." Journal of Applied Physiology 112, no. 9 (2012): 1600–1611. http://dx.doi.org/10.1152/japplphysiol.01251.2011.

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This paper presents and tests a framework for encoding joint dynamics into energy states using kinematic and kinetic knee joint sensor data and demonstrates how to use this information to predict the future energy state (torque and velocity requirements) of the joint without a priori knowledge of the activity sequence. The intended application is for enhancing micro-controlled prosthetics by making use of the embedded sensory potential of artificial limbs and classical mechanical principles of a prosthetic joint to report instantaneous energy state and most probable next energy state. When app

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Arnoux, Léo, Sebastien Fromentin, Dario Farotto, Mathieu Beraneck, Joseph McIntyre, and Michele Tagliabue. "The visual encoding of purely proprioceptive intermanual tasks is due to the need of transforming joint signals, not to their interhemispheric transfer." Journal of Neurophysiology 118, no. 3 (2017): 1598–608. http://dx.doi.org/10.1152/jn.00140.2017.

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To perform goal-oriented hand movement, humans combine multiple sensory signals (e.g., vision and proprioception) that can be encoded in various reference frames (body centered and/or exo-centered). In a previous study (Tagliabue M, McIntyre J. PLoS One 8: e68438, 2013), we showed that, when aligning a hand to a remembered target orientation, the brain encodes both target and response in visual space when the target is sensed by one hand and the response is performed by the other, even though both are sensed only through proprioception. Here we ask whether such visual encoding is due 1) to the

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Shi, Yaxin, Yuangang Pan, Donna Xu, and Ivor W. Tsang. "Multiview Alignment and Generation in CCA via Consistent Latent Encoding." Neural Computation 32, no. 10 (2020): 1936–79. http://dx.doi.org/10.1162/neco_a_01309.

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Multiview alignment, achieving one-to-one correspondence of multiview inputs, is critical in many real-world multiview applications, especially for cross-view data analysis problems. An increasing amount of work has studied this alignment problem with canonical correlation analysis (CCA). However, existing CCA models are prone to misalign the multiple views due to either the neglect of uncertainty or the inconsistent encoding of the multiple views. To tackle these two issues, this letter studies multiview alignment from a Bayesian perspective. Delving into the impairments of inconsistent encod

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32

Han, Xiao-Wei, Xing-Yu Chen, Ying Cui, Qiu-Yang Guo, and Wen Hu. "Adaptive Channel-Enhanced Graph Convolution for Skeleton-Based Human Action Recognition." Applied Sciences 14, no. 18 (2024): 8185. http://dx.doi.org/10.3390/app14188185.

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Obtaining discriminative joint features is crucial for skeleton-based human action recognition. Current models mainly focus on the research of skeleton topology encoding. However, their predefined topology is the same and fixed for all action samples, making it challenging to obtain discriminative joint features. Although some studies have considered the complex non-natural connection relationships between joints, the existing methods cannot fully capture this complexity by using high-order adjacency matrices or adding trainable parameters and instead increase the computation parameters. There

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Shang, Bin, Zhe Chen, Yuxi Lin, Hong Chang, and Jianing Wei. "A systematic classification and typological assessment method for mortise and tenon joints." BioResources 19, no. 3 (2024): 4918–40. http://dx.doi.org/10.15376/biores.19.3.4918-4940.

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The classification of Mortise and Tenon (MT) joints is vital, as it enables standardized terminology, facilitates comparative analysis, and enhances understanding of construction techniques across a variety of applications including the design, manufacturing, and management of wood products. Although the classification of MT joints is crucial, current research in this area lacks a systematic approach. The study adopts a morphological composition paradigm to investigate MT joints. This study introduces a 6-level classification index hierarchy for MT morphology, employing methods from biological

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34

Thiele, Maleen, Robert Hepach, Christine Michel, and Daniety B. M. Haun. "Observing others’ joint attention increases 9-month-old infants’ object encoding." Developmental Psychology 57, no. 6 (2021): 837–50. http://dx.doi.org/10.1037/dev0001189.

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35

Alsaade, Fawaz Waselallah, and Mahaboob Basha Shaik. "Joint Photographic Experts Group Image Compression using Revised Run Length Encoding." Research Journal of Information Technology 9, no. 1 (2016): 38–45. http://dx.doi.org/10.3923/rjit.2017.38.45.

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Wang, Anran, Jiwen Lu, Jianfei Cai, Gang Wang, and Tat-Jen Cham. "Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling." IEEE Transactions on Image Processing 24, no. 11 (2015): 4459–73. http://dx.doi.org/10.1109/tip.2015.2465133.

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Guo, Chaopeng, Shiyu Wang, Ruolan Xie, and Jie Song. "Estimating energy consumption of neural networks with joint Structure–Device encoding." Sustainable Computing: Informatics and Systems 45 (January 2025): 101062. https://doi.org/10.1016/j.suscom.2024.101062.

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38

Hirokawa, Katsuhisa, Kazuyoshi Itoh, and Yoshiki Ichioka. "Optical wavelet processor by holographic bipolar encoding and joint-transform correlation." Applied Optics 36, no. 5 (1997): 1023. http://dx.doi.org/10.1364/ao.36.001023.

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39

Yuan, Xiang Yan. "Distortion-invariant joint transform correlator based on a phase-encoding technique." Optical Engineering 41, no. 11 (2002): 2923. http://dx.doi.org/10.1117/1.1512664.

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40

Kafaie, Somayeh, Yuanzhu Chen, Mohamed Hossam Ahmed, and Octavia A. Dobre. "FlexONC: Joint Cooperative Forwarding and Network Coding With Precise Encoding Conditions." IEEE Transactions on Vehicular Technology 66, no. 8 (2017): 7262–77. http://dx.doi.org/10.1109/tvt.2017.2659539.

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41

Gong, Yaoqin, Deborah Krakow, Jose Marcelino, et al. "Heterozygous mutations in the gene encoding noggin affect human joint morphogenesis." Nature Genetics 21, no. 3 (1999): 302–4. http://dx.doi.org/10.1038/6821.

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42

Chen, Liwei, Yansong Feng, Songfang Huang, Bingfeng Luo, and Dongyan Zhao. "Encoding implicit relation requirements for relation extraction: A joint inference approach." Artificial Intelligence 265 (December 2018): 45–66. http://dx.doi.org/10.1016/j.artint.2018.08.004.

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Larkman, David J., Philip G. Batchelor, David Atkinson, Daniel Rueckert, and Jo V. Hajnal. "Beyond theg-factor limit in sensitivity encoding using joint histogram entropy." Magnetic Resonance in Medicine 55, no. 1 (2005): 153–60. http://dx.doi.org/10.1002/mrm.20752.

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Zhao, Suping, Yushuang Du, Chaobo Chen, Xiaohua Song, and Xiaoyan Zhang. "Multitask-Based Anti-Collision Trajectory Planning of Redundant Manipulators." Biomimetics 9, no. 11 (2024): 679. http://dx.doi.org/10.3390/biomimetics9110679.

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During performing multiple tasks of a redundant manipulator, the obstacles affect the sequential order of task areas and the joint trajectories. The end-effector is constrained to visit multiple task areas with an optimal anti-collision path, while the joints are required to move smoothly and avoid predefined obstacles. A special encoding genetic algorithm (SEGA) is proposed for multitask-based anti-collision trajectory planning. Firstly, the spatial occupancy relationship between obstacles and manipulator is developed utilizing the theory of spherical enclosing box and spatial superposition.

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Zhang, Fenghao, Lin Zhao, Shengling Li, Wanjuan Su, Liman Liu, and Wenbing Tao. "3D hand pose and shape estimation from monocular RGB via efficient 2D cues." Computational Visual Media 10, no. 1 (2023): 79–96. http://dx.doi.org/10.1007/s41095-023-0346-4.

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AbstractEstimating 3D hand shape from a single-view RGB image is important for many applications. However, the diversity of hand shapes and postures, depth ambiguity, and occlusion may result in pose errors and noisy hand meshes. Making full use of 2D cues such as 2D pose can effectively improve the quality of 3D human hand shape estimation. In this paper, we use 2D joint heatmaps to obtain spatial details for robust pose estimation. We also introduce a depth-independent 2D mesh to avoid depth ambiguity in mesh regression for efficient hand-image alignment. Our method has four cascaded stages:

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Cheng, Dongyang, Zhenchang Liu, Zhengwei Guo, Gaofeng Shu, and Ning Li. "A Repeater-Type SAR Deceptive Jamming Method Based on Joint Encoding of Amplitude and Phase in the Intra-Pulse and Inter-Pulse." Remote Sensing 14, no. 18 (2022): 4597. http://dx.doi.org/10.3390/rs14184597.

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Due to advantages such as low power consumption and high concealment, deceptive jamming against synthetic aperture radar (SAR) has received extensive attention in electronic countermeasures. However, the false targets generated by most of the deceptive jamming methods still have limitations, such as poor controllability and strong regularity. Inspired by the idea of waveform coding, this paper proposed a repeater-type SAR deceptive jamming method through the joint encoding of amplitude and phase in intra-pulse and inter-pulse, which can generate a two-dimensional controllable deceptive jamming

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Caraffi, Maini, Ivanovski, et al. "Severe Peripheral Joint Laxity is a Distinctive Clinical Feature of Spondylodysplastic-Ehlers-Danlos Syndrome (EDS)-B4GALT7 and Spondylodysplastic-EDS-B3GALT6." Genes 10, no. 10 (2019): 799. http://dx.doi.org/10.3390/genes10100799.

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Variations in genes encoding for the enzymes responsible for synthesizing the linker region of proteoglycans may result in recessive conditions known as “linkeropathies”. The two phenotypes related to mutations in genes B4GALT7 and B3GALT6 (encoding for galactosyltransferase I and II respectively) are similar, characterized by short stature, hypotonia, joint hypermobility, skeletal features and a suggestive face with prominent forehead, thin soft tissue and prominent eyes. The most outstanding feature of these disorders is the combination of severe connective tissue involvement, often manifest

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Samanta, Soumitra, Steve O’Hagan, Neil Swainston, Timothy J. Roberts, and Douglas B. Kell. "VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder." Molecules 25, no. 15 (2020): 3446. http://dx.doi.org/10.3390/molecules25153446.

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Molecular similarity is an elusive but core “unsupervised” cheminformatics concept, yet different “fingerprint” encodings of molecular structures return very different similarity values, even when using the same similarity metric. Each encoding may be of value when applied to other problems with objective or target functions, implying that a priori none are “better” than the others, nor than encoding-free metrics such as maximum common substructure (MCSS). We here introduce a novel approach to molecular similarity, in the form of a variational autoencoder (VAE). This learns the joint distribut

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Sun, Hua, and Chao Tian. "Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding." Information 10, no. 9 (2019): 265. http://dx.doi.org/10.3390/info10090265.

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The capacity of private information retrieval (PIR) from databases coded using maximum distance separable (MDS) codes was previously characterized by Banawan and Ulukus, where it was assumed that the messages are encoded and stored separably in the databases. This assumption was also usually made in other related works in the literature, and this capacity is usually referred to as the MDS-PIR capacity colloquially. In this work, we considered the question of if and when this capacity barrier can be broken through joint encoding and storing of the messages. Our main results are two classes of n

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Bursalioglu, O. Y., M. Fresia, G. Caire, and H. V. Poor. "Lossy Joint Source-Channel Coding Using Raptor Codes." International Journal of Digital Multimedia Broadcasting 2008 (2008): 1–18. http://dx.doi.org/10.1155/2008/124685.

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Abstract:

The straightforward application of Shannon's separation principle may entail a significant suboptimality in practical systems with limited coding delay and complexity. This is particularly evident when the lossy source code is based on entropy-coded quantization. In fact, it is well known that entropy coding is not robust to residual channel errors. In this paper, a joint source-channel coding scheme is advocated that combines the advantages and simplicity of entropy-coded quantization with the robustness of linear codes. The idea is to combine entropy coding and channel coding into a single l

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