• STL-10 dataset

  • Referenced in 23 articles [sw39164]
  • methods. Reference: Adam Coates, Honglak Lee, Andrew Y. Ng An Analysis of Single Layer Networks...
  • Isar

  • Referenced in 144 articles [sw04599]
  • integrates a broad range of automated proof methods. Interactive proof development is supported directly ... Isar as an alternative proof language interface layer, beyond traditional tactic scripts. The Isabelle/Isar system ... Isabelle/Isar commands may be executed in single-steps, so basically the interpreter has a proof...
  • DnCNN

  • Referenced in 45 articles [sw39678]
  • very deep architecture, learning algorithm, and regularization method into image denoising. Specifically, residual learning ... hidden layers. This property motivates us to train a single DnCNN model to tackle with...
  • MultilayerExtraction

  • Referenced in 2 articles [sw34885]
  • analysis of single-layer networks, the development of community detection methods for multilayer networks...
  • EUROVAL

  • Referenced in 11 articles [sw02124]
  • Reynolds stresses. The examples chosen include the single element airfoil flow, the two-element airfoil ... flow over the DLR-F5 wing, boundary-layer flows, wind-tunnel interference and vortex breakdown ... useful information concerning numerical methods for predicting aerodynamic flows with regard to the comparison...
  • QAcon

  • Referenced in 1 article [sw34249]
  • paper, we develop a novel single-model quality assessment method QAcon utilizing structural features, physicochemical ... information predicted by two protein contact prediction methods PSICOV and DNcon to generate ... layer neural network on CASP9 datasets to predict the quality of a single protein model ... blindly benchmarked our method QAcon on CASP11 dataset as the MULTICOM-CLUSTER server. Based...
  • VoxelNet

  • Referenced in 9 articles [sw32558]
  • extraction and bounding box prediction into a single stage, end-to-end trainable deep network ... newly introduced voxel feature encoding (VFE) layer. In this way, the point cloud is encoded ... LiDAR based 3D detection methods by a large margin. Furthermore, our network learns an effective...
  • SESR

  • Referenced in 1 article [sw41690]
  • effective, we proposed a novel single image super resolution method via recursive squeeze and excitation ... structure and progressive reconstruction method in our model minimized the layers and parameters and enabled ... train multi-scale super resolution in a single model. After evaluating on four benchmark test ... above the state-of-the-art methods in terms of speed and accuracy...
  • CTF

  • Referenced in 8 articles [sw25687]
  • Coupled Cluster (CC) electronic structure method to massively-parallel supercomputers. The framework preserves tensor structure ... regular parallel decomposition. An internal virtualization layer provides completely general mapping support while maintaining ideal ... language. We demonstrate performance of CC with single and double excitations on 8192 nodes...
  • validann

  • Referenced in 0 articles [sw35498]
  • provides a method for fitting feed-forward ANNs with a single hidden layer...
  • ENCoM

  • Referenced in 2 articles [sw16880]
  • amino acids. The inclusion of this layer of information was shown to improve conformational space ... grained normal mode analysis method to predict the effect of single point mutations on protein...
  • Eddylicious

  • Referenced in 2 articles [sw23839]
  • unite existing inflow generation methods in a single code-base and make them accessible ... accurate inflow generation method suitable for flows with a turbulent boundary layer inflow and input/output...
  • BoRiS

  • Referenced in 3 articles [sw06562]
  • develop a new 3D scrape-off layer (SOL) transport code for the modelling ... able to use standard discretization methods. The different plasma regions have different magnetic coordinates ... regions can be hold in a single grid using our grid generation. par The Finite...
  • multimodbp

  • Referenced in 1 article [sw41406]
  • allows for both weighted and unweighted single layer networksas well as a variety of multilayer ... algorithm at larger scale networks. Our method extends the approach of Pan Zhang and Christopher...
  • MVDA

  • Referenced in 2 articles [sw35562]
  • data layers (views) is integrated at the levels of the results of each single view ... effectiveness and the performance of our method on six multi-view cancer datasets...
  • CloudGenius

  • Referenced in 4 articles [sw20154]
  • CloudGenius: a hybrid decision support method for automating the migration of web application clusters ... criteria and complex dependencies across multiple layers, which is impossible to resolve manually. The previously ... proven its capability to support migrations of single-component web applications. In this paper...
  • NATTACK

  • Referenced in 1 article [sw32886]
  • Deep Neural Networks. Powerful adversarial attack methods are vital for understanding how to construct robust ... need of accessing the DNN’s internal layers or weights. Our approach is universal ... successfully attack different neural networks by a single algorithm. It is also strong; according ... black-box or white-box attack methods for most test cases. Additionally, our results reveal...
  • SDM6A

  • Referenced in 0 articles [sw37445]
  • layer ensemble approach for identifying 6mA sites in the rice genome. Unlike existing methods, which ... based on single models with basic features, SDM6A explores various features, and five encoding methods...
  • VIPLFaceNet

  • Referenced in 1 article [sw21624]
  • recognition method with deep representation named as VIPLFaceNet, which is a 10-layer deep convolutional ... network with 7 convolutional layers and 3 fully-connected layers. Compared with the well-known ... mean accuracy on LFW using one single network. An open-source C++ SDK based...
  • ParMAC

  • Referenced in 0 articles [sw15226]
  • based on the composition of multiple processing layers, such as deep nets, which gives rise ... optimise such ”nested” functions is the method of auxiliary coordinates (MAC). MAC introduces an auxiliary ... into steps that alternate between training single layers and updating the coordinates...