Suchergebnisse - "Computing methodologies"

On-the-fly Improving Performance of Deep Code Models via Input Denoising von Tian, Zhao, Chen, Junjie, Zhang, Xiangyu

“… Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these …”
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A simulation model for visitors’ thermal comfort at urban public squares using non-probabilistic binary-linear classifier through soft-computing methodologies von Kariminia, Shahab, Shamshirband, Shahaboddin, Hashim, Roslan, Saberi, Ahmadreza, Petković, Dalibor, Roy, Chandrabhushan, Motamedi, Shervin

“… Sustaining outdoor life in cities is decreasing because of the recent rapid urbanisation without considering climate-responsive urban design concepts. Such …”
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State of the Art in Edge and Trail Bundling Techniques von Lhuillier, A., Hurter, C., Telea, A.

“… Bundling techniques provide a visual simplification of a graph drawing or trail set, by spatially grouping similar graph edges or trails. This way, the …”
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Zooming On All Actors: Automatic Focus+Context Split Screen Video Generation von Kumar, Moneish, Gandhi, Vineet, Ronfard, Remi, Gleicher, Michael

“… Recordings of stage performances are easy to capture with a high‐resolution camera, but are difficult to watch because the actors' faces are too small. We …”
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Can bi-cubic surfaces be class A? von Karčiauskas, Kęstutis, Peters, Jörg

“… 'Class A surface’ is a term in the automotive design industry, describing spline surfaces with aesthetic, non‐oscillating highlight lines. Tensor‐product …”
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LeSSS: Learned Shared Semantic Spaces for Relating Multi-Modal Representations of 3D Shapes von Herzog, Robert, Mewes, Daniel, Wand, Michael, Guibas, Leonidas, Seidel, Hans-Peter

“… In this paper, we propose a new method for structuring multi‐modal representations of shapes according to semantic relations. We learn a metric that links …”
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Comparison of GPU Computing Methodologies for Safety-Critical Systems: An Avionics Case Study von Benito, Marc, Trompouki, Matina Maria, Kosmidis, Leonidas, Garcia, Juan David, Carretero, Sergio, Wenger, Ken

“… However software in safety-critical industries is subject to functional certification, which cannot be achieved using standard GPU programming languages such as CUDA and OpenCL …”
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A one-dimensional homologically persistent skeleton of an unstructured point cloud in any metric space von Kurlin, V.

“… Real data are often given as a noisy unstructured point cloud, which is hard to visualize. The important problem is to represent topological structures hidden …”
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Submodularity of Distributed Join Computation von Li, Rundong, Riedewald, Mirek, Deng, Xinyan

“… We show that minimizing load variance subject to a constraint on expectation is a monotone submodular maximization problem with Knapsack constraints, hence admitting provably near-optimal greedy solutions …”
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Scalable Neural Decoder for Topological Surface Codes von Meinerz, Kai, Park, Chae-Yeun, Trebst, Simon

“… Here, we present a neural network based decoder that, for a family of stabilizer codes subject to depolarizing noise and syndrome measurement errors, is scalable to tens of thousands of qubits …”
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Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality von Liao, Yifan, Xu, Ming, Lin, Yun, Teoh, Xiwen, Xie, Xiaofei, Feng, Ruitao, Liauw, Frank, Zhang, Hongyu, Dong, Jin Song

“… Web applications are crucial infrastructures in the modern society, which have high demand of reliability and security. However, their frontend can be …”
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TEASER: Simulation-Based CAN Bus Regression Testing for Self-Driving Cars Software von Birchler, Christian, Rohrbach, Cyrill, Kim, Hyeongkyun, Gambi, Alessio, Liu, Tianhai, Horneber, Jens, Kehrer, Timo, Panichella, Sebastiano

“… Safety-critical systems such as self-driving cars (SDCs) must be rigorously tested. Especially electronic control units (ECUs) of SDCs should be tested with …”
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Sparse Iterative Closest Point von Bouaziz, Sofien, Tagliasacchi, Andrea, Pauly, Mark

“… Rigid registration of two geometric data sets is essential in many applications, including robot navigation, surface reconstruction, and shape matching. Most …”
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Mesh Statistics for Robust Curvature Estimation von Váša, L., Vaněček, P., Prantl, M., Skorkovská, V., Martínek, P., Kolingerová, I.

“… While it is usually not difficult to compute principal curvatures of a smooth surface of sufficient differentiability, it is a rather difficult task when only …”
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SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice von Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang

“… This paper proposes a novel method that utilizes decision rule sets to deal with highly imbalanced data by optimizing the F1 score subject to cardinality constraints …”
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MIQP‐based Layout Design for Building Interiors von Wu, Wenming, Fan, Lubin, Liu, Ligang, Wonka, Peter

“… We propose a hierarchical framework for the generation of building interiors. Our solution is based on a mixed integer quadratic programming (MIQP) …”
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Unconditionally Stable Shock Filters for Image and Geometry Processing von Prada, F., Kazhdan, M.

“… This work revisits the Shock Filters of Osher and Rudin [OR90] and shows how the proposed filtering process can be interpreted as the advection of image values …”
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Quaternion Julia Set Shape Optimization von Kim, Theodore

“… We present the first 3D algorithm capable of answering the question: what would a Mandelbrot‐like set in the shape of a bunny look like? More concretely, can …”
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Extracting Features from Time-Dependent Vector Fields Using Internal Reference Frames von Bhatia, H., Pascucci, V., Kirby, R. M., Bremer, P.-T.

“… Extracting features from complex, time‐dependent flow fields remains a significant challenge despite substantial research efforts, especially because most flow …”
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PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN von Lin, K.‐E., Trevithick, A., Cheng, K., Sarkis, M., Ghafoorian, M., Bi, N., Reitmayr, G., Ramamoorthi, R.

“… Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its …”
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