| Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections | 0 | 0.34 | 2022 |
| Dynamic mode decomposition via convolutional autoencoders for dynamics modeling in videos | 0 | 0.34 | 2022 |
| Reproducing kernel Hilbert C*-module and kernel mean embeddings. | 0 | 0.34 | 2021 |
| Learning Dynamics Models With Stable Invariant Sets | 0 | 0.34 | 2021 |
| Prediction Of Compound Bioactivities Using Heat-Diffusion Equation | 0 | 0.34 | 2020 |
| Dynamic mode decomposition via dictionary learning for foreground modeling in videos | 1 | 0.35 | 2020 |
| Knowledge-Based Regularization in Generative Modeling | 0 | 0.34 | 2020 |
| Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise | 0 | 0.34 | 2020 |
| Regularizing Generative Models Using Knowledge of Feature Dependence. | 0 | 0.34 | 2019 |
| Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces. | 0 | 0.34 | 2019 |
| Supervised dynamic mode decomposition via multitask learning. | 0 | 0.34 | 2019 |
| Variational Inference of Penalized Regression with Submodular Functions. | 0 | 0.34 | 2019 |
| Physically-interpretable classification of network dynamics for complex collective motions. | 0 | 0.34 | 2019 |
| Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators | 1 | 0.36 | 2018 |
| Factorially Switching Dynamic Mode Decomposition For Koopman Analysis Of Time-Variant Systems | 0 | 0.34 | 2018 |
| Prediction and classification in equation-free collective motion dynamics. | 2 | 0.37 | 2018 |
| An efficient branch-and-bound algorithm for submodular function maximization. | 0 | 0.34 | 2018 |
| Metric on Nonlinear Dynamical Systems with Koopman Operators. | 0 | 0.34 | 2018 |
| Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables. | 0 | 0.34 | 2018 |
| Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition. | 10 | 0.61 | 2017 |
| Sparse Nonnegative Dynamic Mode Decomposition | 2 | 0.37 | 2017 |
| Bayesian Dynamic Mode Decomposition. | 6 | 0.58 | 2017 |
| Representative Selection with Structured Sparsity. | 13 | 0.53 | 2017 |
| Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. | 1 | 0.35 | 2017 |
| Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays. | 3 | 0.44 | 2017 |
| Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis. | 0 | 0.34 | 2016 |
| A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis. | 0 | 0.34 | 2016 |
| Efficient Generalized Fused Lasso and Its Applications. | 4 | 0.39 | 2016 |
| Scatterplot layout for high-dimensional data visualization | 5 | 0.46 | 2015 |
| On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. | 2 | 0.38 | 2015 |
| Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions | 0 | 0.34 | 2015 |
| Higher Order Fused Regularization for Supervised Learning with Grouped Parameters | 2 | 0.37 | 2015 |
| Skill grouping method: Mining and clustering skill differences from body movement BigData | 1 | 0.36 | 2015 |
| Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM. | 0 | 0.34 | 2014 |
| A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model | 9 | 0.81 | 2014 |
| Workshop on Graph-Based Algorithms for Big Data and Its Applications (GABA2014). | 0 | 0.34 | 2014 |
| Multi-Task Feature Selection on Multiple Networks via Maximum Flows. | 1 | 0.36 | 2014 |
| Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization | 4 | 0.44 | 2013 |
| Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios | 11 | 0.74 | 2013 |
| Active learning for noisy oracle via density power divergence. | 4 | 0.38 | 2013 |
| Structured Convex Optimization under Submodular Constraints. | 6 | 0.43 | 2013 |
| A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System | 0 | 0.34 | 2013 |
| Efficient network-guided multi-locus association mapping with graph cuts. | 16 | 0.80 | 2013 |
| Separation of stationary and non-stationary sources with a generalized eigenvalue problem. | 10 | 0.64 | 2012 |
| Weighted Likelihood Policy Search with Model Selection. | 0 | 0.34 | 2012 |
| Sequential change-point detection based on direct density-ratio estimation | 36 | 1.47 | 2012 |
| Discovering causal structures in binary exclusive-or skew acyclic models | 0 | 0.34 | 2012 |
| Robust active learning for linear regression via density power divergence | 0 | 0.34 | 2012 |
| DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model | 49 | 2.09 | 2011 |
| Prismatic Algorithm for Discrete D.C. Programming Problems | 0 | 0.34 | 2011 |
