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Relevant bibliographies by topics / Full-initialization Points

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Academic literature on the topic 'Full-initialization Points'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "Full-initialization Points"

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Wang, P., and W. Yao. "EXPLORING LABEL INITIALIZATION FOR WEAKLY SUPERVISED ALS POINT CLOUD SEMANTIC SEGMENTATION." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2022 (May 17, 2022): 151–58. http://dx.doi.org/10.5194/isprs-annals-v-2-2022-151-2022.

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Abstract. Although a number of emerging point-cloud semantic segmentation methods achieve state-of-the-art results, acquiring fully interpreted training data is a time-consuming and labor-intensive task. To reduce the burden of data annotation in training, semiand weakly supervised methods are proposed to address the situation of limited supervisory sources, achieving competitive results compared to full supervision schemes. However, given a fixed budget, the effective annotation of a few points is typically ignored, which is referred to as weak-label initialization in this study. In practice,

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Liu, Yinhan, Jiatao Gu, Naman Goyal, et al. "Multilingual Denoising Pre-training for Neural Machine Translation." Transactions of the Association for Computational Linguistics 8 (November 2020): 726–42. http://dx.doi.org/10.1162/tacl_a_00343.

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This paper demonstrates that multilingual denoising pre-training produces significant performance gains across a wide variety of machine translation (MT) tasks. We present mBART—a sequence-to-sequence denoising auto-encoder pre-trained on large-scale monolingual corpora in many languages using the BART objective (Lewis et al., 2019 ). mBART is the first method for pre-training a complete sequence-to-sequence model by denoising full texts in multiple languages, whereas previous approaches have focused only on the encoder, decoder, or reconstructing parts of the text. Pre-training a complete mod

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Liu, Guo, Feng, and Yang. "Accurate and Robust Monocular SLAM with Omnidirectional Cameras." Sensors 19, no. 20 (2019): 4494. http://dx.doi.org/10.3390/s19204494.

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Simultaneous localization and mapping (SLAM) are fundamental elements for many emerging technologies, such as autonomous driving and augmented reality. For this paper, to get more information, we developed an improved monocular visual SLAM system by using omnidirectional cameras. Our method extends the ORB-SLAM framework with the enhanced unified camera model as a projection function, which can be applied to catadioptric systems and wide-angle fisheye cameras with 195 degrees field-of-view. The proposed system can use the full area of the images even with strong distortion. For omnidirectional

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Yang, Yi, Ying Wang, and Kefeng Zhu. "Assimilation of Chinese Doppler Radar and Lightning Data Using WRF-GSI: A Case Study of Mesoscale Convective System." Advances in Meteorology 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/763919.

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The radar-enhanced GSI (version 3.1) system and the WRF-ARW (version 3.4.1) model were modified to assimilate radar/lightning-proxy reflectivity. First, cloud-to-ground lightning data were converted to reflectivity using a simple assumed relationship between flash density and reflectivity. Next, the reflectivity was used in the cloud analysis of GSI to adjust the cloud/hydrometeors and moisture. Additionally, the radar/lightning-proxy reflectivity was simultaneously converted to a 3D temperature tendency. Finally, the model-calculated temperature tendencies from the explicit microphysics schem

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Ivanova, N., P. Rampal, and S. Bouillon. "Assessment of error in satellite derived lead fraction in Arctic." Cryosphere Discussions 9, no. 6 (2015): 6315–44. http://dx.doi.org/10.5194/tcd-9-6315-2015.

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Abstract. Leads within consolidated sea ice control heat exchange between the ocean and the atmosphere during winter thus constituting an important climate parameter. These narrow elongated features occur when sea ice is fracturing under the action of wind and currents, reducing the local mechanical strength of the ice cover, which in turn impact the sea ice drift patterns. This makes a high quality lead fraction (LF) dataset to be in demand for sea ice model evaluation, initialization and for assimilation of such data in regional models. In this context, the available LF dataset retrieved fro

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Başoğlu. "A Fast GMPPT Algorithm Based on PV Characteristic for Partial Shading Conditions." Electronics 8, no. 10 (2019): 1142. http://dx.doi.org/10.3390/electronics8101142.

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Photovoltaic (PV) modules experience some partial shading conditions (PSC) due to some various factors. In that kind of a condition, a few maximum power points (MPPs) possibly appear on the power-voltage (P-V) curve, which increases the tracking difficulties. It is known that maximum power point tracking (MPPT) may not be realized by hill climbing (HC) based conventional MPPT algorithms under PSCs. In this context, this paper presents a novel micro converter based algorithm that was developed by using P-V characteristics of PV modules. Unlike voltage or duty ratio scanning techniques, this pap

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ZHOU, YU, YINFEI YANG, MENG YI, XIANG BAI, WENYU LIU, and LONGIN JAN LATECKI. "ONLINE MULTIPLE TARGETS DETECTION AND TRACKING FROM MOBILE ROBOT IN CLUTTERED INDOOR ENVIRONMENTS WITH DEPTH CAMERA." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 01 (2014): 1455001. http://dx.doi.org/10.1142/s0218001414550015.

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Indoor environment is a common scene in our everyday life, and detecting and tracking multiple targets in this environment is a key component for many applications. However, this task still remains challenging due to limited space, intrinsic target appearance variation, e.g. full or partial occlusion, large pose deformation, and scale change. In the proposed approach, we give a novel framework for detection and tracking in indoor environments, and extend it to robot navigation. One of the key components of our approach is a virtual top view created from an RGB-D camera, which is named ground p

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Vasyltsiv, Taras G., Iryna M. Biletska, and Tetiana O. Rudkovska. "The Directions for Streamlining the Public Policy of Improving the Quality of Medical Care for the Population in Ukraine." Business Inform 8, no. 547 (2023): 275–80. http://dx.doi.org/10.32983/2222-4459-2023-8-275-280.

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The article emphasizes the urgency of forming and implementing a public policy of improving the quality of providing medical services to the population. The purpose of the study is the scientific substantiation of the methodological and applied principles of the streamlining of the public policy of improving the quality of medical care of the population in Ukraine. It is shown that carrying out the medical reform in Ukraine actualizes the problem of improving the quality of medical care for the population, especially at the local level; for territorial communities, this means, first of all, th

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Barnds, Brandon, Atlee Witt, Alexanda Orahovats, Theodore Schlegel, and Kenneth Hunt. "The Effects of a Pandemic on Patient Engagement in a Patient-Reported Outcome Platform at Orthopaedic Sports Medicine Centers (106)." Orthopaedic Journal of Sports Medicine 9, no. 10_suppl5 (2021): 2325967121S0025. http://dx.doi.org/10.1177/2325967121s00256.

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Objectives: Patient-reported outcomes (PROs) are an important clinical tool to effectively collect, compile, and assess patient data and clinical progress. Beyond just tracking patient progress, PROs facilitate patient-provider communication and can be used to inform care practices. Though recent studies have focused on the merits of PRO collection in orthopaedics, few have sought to understand the impact of the coronavirus pandemic on PRO collection. Our objective is to review the initialization of an electronic PRO collection platform at our Orthopaedic Sports Medicine clinics and surgery ce

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Yuan, Han, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, and Chuan Hong. "Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Start Active Learning." Health Care Science, April 6, 2025. https://doi.org/10.1002/hcs2.70009.

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ABSTRACTObjectiveDeep learning (DL) has become the prevailing method in chest radiograph analysis, yet its performance heavily depends on large quantities of annotated images. To mitigate the cost, cold‐start active learning (AL), comprising an initialization followed by subsequent learning, selects a small subset of informative data points for labeling. Recent advancements in pretrained models by supervised or self‐supervised learning tailored to chest radiograph have shown broad applicability to diverse downstream tasks. However, their potential in cold‐start AL remains unexplored.MethodsTo

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Dissertations / Theses on the topic "Full-initialization Points"

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Rama, Girish Maskeri. "Program Analyses to Support Memory-saving Refactorings in Java Programs." Thesis, 2017. https://etd.iisc.ac.in/handle/2005/4686.

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Software commonly consumes unexpectedly high amounts of memory, frequently due to programming idioms that are used to make software more reliable, maintainable and understandable. In the case of modern object-oriented systems this problem is partly due to creation of large numbers of co-existing isomorphic objects. Intuitively, two objects are isomorphic if they are of the same type, have identical values in corresponding primitive fields, and are such that corresponding reference fields themselves point to isomorphic objects. In other words, the portions of memory rooted at the two objects ar

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Book chapters on the topic "Full-initialization Points"

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Belmekki, Elmostafa, Raouyane Brahim, Abdelhamid Belmekki, and Mostafa Bellafkih. "Security in 4G." In Security and Privacy in Smart Sensor Networks. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5736-4.ch015.

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IMS is a standardized service architecture defined by 3GPP, ETSI, and IETF to provide multimedia services such as videoconferencing, VoD, and voice over IP. IMS is mainly based on the SIP protocol for session initialization. The convergence to full IP has advantages but also disadvantages. The latter are mainly inherited from the weaknesses of the IP protocol, in particular the QoS and the security aspects. It is in this context that this chapter is written. It has as main objective to analyze security in IMS networks as service layer in 4G to identify the most vulnerable points and propose se

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Conference papers on the topic "Full-initialization Points"

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Rama, Girish Maskeri, and Raghavan Komondoor. "Detecting Full Initialization Points of Objects to Support Code Refactorings." In 2017 24th Asia-Pacific Software Engineering Conference (APSEC). IEEE, 2017. http://dx.doi.org/10.1109/apsec.2017.17.

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Ercan, Ilgit, and Damian M. Vogt. "Detached Eddy Simulation of Rotating Instabilities in a Low-Pressure Model Steam Turbine Operating Under Low Volume Flow Conditions." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-58704.

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Abstract Rotating instability (RI) in steam turbines is a phenomenon occurring during operation at very low volume flow conditions. Whereas RI is well-known in compressors, it is rather uncommon in turbines, where it is limited to the last stages of low-pressure steam turbines. The phenomenon has been studied numerically by means of viscous 3D CFD simulations employing mainly URANS equations. Given the possible difficulties to accurately predict heavily separated flows using such methods, this paper deals with the question whether the more sophisticated Improved Delayed Detached Eddy Simulatio

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Grinstein, Fernando, Rick Rauenzahn, Juan Saenz, and Marianne Francois. "Coarse Grained Simulation of Shock-Driven Turbulent Mixing." In ASME 2017 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fedsm2017-69057.

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We focus on the simulation of shock-driven material mixing powered by flow instabilities dependent on initial conditions (IC) at the material interfaces. Beyond complex multi-scale resolution issues of shocks and variable density turbulence, we must address the equally difficult problem of predicting flow transition promoted by energy deposited at the interfacial layers during the shock-interface interactions. Transition involves IC-dependent, large-scale coherent-structure dynamics capturable by a large eddy simulation (LES) strategy, but not by unsteady Reynolds-Averaged Navier-Stokes (URANS

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