The following pages link to ImageNet (Q32917):
Displaying 50 items.
- Multilevel and multiscale feature aggregation in deep networks for facial constitution classification (Q2299895) (← links)
- Universality of deep convolutional neural networks (Q2300759) (← links)
- Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade (Q2303264) (← links)
- Lower error bounds for the stochastic gradient descent optimization algorithm: sharp convergence rates for slowly and fast decaying learning rates (Q2303416) (← links)
- A survey on semi-supervised learning (Q2303675) (← links)
- Noise learning based discriminative dictionary learning algorithm for image classification (Q2306197) (← links)
- FEA-Net: a physics-guided data-driven model for efficient mechanical response prediction (Q2309378) (← links)
- Neural network as a function approximator and its application in solving differential equations (Q2313205) (← links)
- Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (Q2314336) (← links)
- Impact of low resolution on image recognition with deep neural networks: an experimental study (Q2316471) (← links)
- MgNet: a unified framework of multigrid and convolutional neural network (Q2316958) (← links)
- Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems (Q2319398) (← links)
- Deep relaxation: partial differential equations for optimizing deep neural networks (Q2319762) (← links)
- Blended coarse gradient descent for full quantization of deep neural networks (Q2319868) (← links)
- A multiscale neural network based on hierarchical nested bases (Q2319969) (← links)
- Nonparametric blind super-resolution using adaptive heavy-tailed priors (Q2320449) (← links)
- Temporal pattern attention for multivariate time series forecasting (Q2320574) (← links)
- Distributional semantics of objects in visual scenes in comparison to text (Q2321307) (← links)
- A deep-learning-based geological parameterization for history matching complex models (Q2323494) (← links)
- Nonlinear system identification via data augmentation (Q2327384) (← links)
- Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations (Q2327815) (← links)
- A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence (Q2328425) (← links)
- Sharing hash codes for multiple purposes (Q2329853) (← links)
- Compositional falsification of cyber-physical systems with machine learning components (Q2331078) (← links)
- Efficient deep learning-based automated pathology identification in retinal optical coherence tomography images (Q2331617) (← links)
- A novel parallel auto-encoder framework for multi-scale data in civil structural health monitoring (Q2331629) (← links)
- Blockchain-based privacy preserving deep learning (Q2331970) (← links)
- Automatic prediction of meningioma grade image based on data amplification and improved convolutional neural network (Q2332568) (← links)
- Deep convolutional neural network for ulcer recognition in wireless capsule endoscopy: experimental feasibility and optimization (Q2332574) (← links)
- Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network (Q2334461) (← links)
- Neural network with unbounded activation functions is universal approximator (Q2399647) (← links)
- Associative pattern recognition through macro-molecular self-assembly (Q2401481) (← links)
- Fixed versus mixed RSA: explaining visual representations by fixed and mixed feature sets from shallow and deep computational models (Q2407652) (← links)
- A fast SVD-hidden-nodes based extreme learning machine for large-scale data analytics (Q2418132) (← links)
- Noise-enhanced convolutional neural networks (Q2418174) (← links)
- Convolutional neural network models of V1 responses to complex patterns (Q2418231) (← links)
- Network structure and input integration in competing firing rate models for decision-making (Q2418435) (← links)
- An artificial neural network as a troubled-cell indicator (Q2424512) (← links)
- Analysis of time-frequency scattering transforms (Q2424627) (← links)
- Eigen solution of neural networks and its application in prediction and analysis of controller parameters of grinding robot in complex environments (Q2424704) (← links)
- Image classification with the Fisher vector: theory and practice (Q2450399) (← links)
- Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms (Q2632267) (← links)
- A real-time Chinese traffic sign detection algorithm based on modified YOLOv2 (Q2633208) (← links)
- Transform a simple sketch to a Chinese painting by a multiscale deep neural network (Q2633236) (← links)
- Cognitive information measurements: a new perspective (Q2656760) (← links)
- A survey of deep network techniques all classifiers can adopt (Q2659274) (← links)
- The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances (Q2659282) (← links)
- Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data (Q2659283) (← links)
- Machine learning based data retrieval for inverse scattering problems with incomplete data (Q2660886) (← links)
- Privacy-preserving distributed deep learning based on secret sharing (Q2663489) (← links)
