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Distributed algorithms for nonlinear tree-sparse problems
Hübner, Jens ; Hübner, Jens

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2

Distributed Multi-Robot Information Gathering under Spatio-Temporal Inter-Robot Constraints.
Viseras, Alberto ; Zhe Xu ; Merino, Luis
Sensors (14248220); 1/15/2020, Vol. 20 Issue 2, p1-25, 25p

DISTRIBUTED algorithms ROBOTIC path planning UTILITY functions ROBOTS SYSTEM dynamics MAGNETIC fields …
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3

Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms.
Bendory, Tamir ; Yuehaw Khoo ; Kileel, Joe ; et al.
Proceedings of the National Academy of Sciences of the United States of America; 5/2/2023, Vol. 120 Issue 18, p1-18, 18p

INVERSE problems ALGEBRAIC geometry MOLECULAR structure X-ray crystallography SIGNAL processing
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4

Massively parallelizable proximal algorithms for large‐scale stochastic optimal control problems.
Sampathirao, Ajay K. ; Patrinos, Panagiotis ; Bemporad, Alberto ; et al.
Optimal Control - Applications & Methods; Jan2024, Vol. 45 Issue 1, p45-63, 19p

QUASI-Newton methods STOCHASTIC control theor... GRAPHICS processing unit... COST functions ALGORITHMS
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5

A Hybrid DL with Battle Royal Optimisation Algorithm for Accurate Tree Counting Using Satellite Images.
Bansal, Himanshu ; Sinha, Anurag ; Agarwal, Garvit ; et al.
International Journal of Computational Intelligence Systems; 8/25/2025, Vol. 18 Issue 1, p1-46, 46p

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6

Optimization techniques for tree-structured nonlinear problems.
Hübner, Jens ; Schmidt, Martin ; Steinbach, Marc C.
Computational Management Science; Oct2020, Vol. 17 Issue 3, p409-436, 28p

NONLINEAR equations MATHEMATICAL optimizatio... ROBUST control PREDICTIVE control syste... INTERIOR-point methods PREDICTION models …
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7

A dual Newton strategy for tree‐sparse quadratic programs and its implementation in the open‐source software treeQP.
Kouzoupis, D. ; Klintberg, E. ; Frison, G. ; et al.
International Journal of Robust & Nonlinear Control; 5/25/2019, Vol. 29 Issue 8, p2438-2457, 20p

OPEN source software NEWTON-Raphson method INTERIOR-point methods STOCHASTIC programming BRANCHING processes TREE branches …
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8

Decentralized Optimization Over Tree Graphs.
Jiang, Yuning ; Kouzoupis, Dimitris ; Yin, Haoyu ; et al.
Journal of Optimization Theory & Applications; May2021, Vol. 189 Issue 2, p384-407, 24p

MATHEMATICAL optimizatio... DYNAMIC programming TOPOLOGY TREE graphs
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9

Temporal Parallelization of Inference in Hidden Markov Models.
Hassan, Sakira ; Sarkka, Simo ; Garcia-Fernandez, Angel
IEEE Transactions on Signal Processing; 11/1/2021, p4875-4887, 13p

ALGORITHMS GRAPHICS processing unit... FORWARD-backward algorit... PARALLEL algorithms KALMAN filtering
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10

A Combination of OBIA and Random Forest Based on Visible UAV Remote Sensing for Accurately Extracted Information about Weeds in Areas with Different Weed Densities in Farmland.
Feng, Chao ; Zhang, Wenjiang ; Deng, Hui ; et al.
Remote Sensing; Oct2023, Vol. 15 Issue 19, p4696, 20p

RANDOM forest algorithms REMOTE sensing WEEDS DRONE aircraft MACHINE learning THEMATIC mapper satellit... …
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11

A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl.
Jalving, Jordan ; Shin, Sungho ; Zavala, Victor M.
Mathematical Programming Computation; Dec2022, Vol. 14 Issue 4, p699-747, 49p

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12

SHAPE OPTIMIZATION UNDER UNCERTAINTY--A STOCHASTIC PROGRAMMING PERSPECTIVE.
CONTI, SERGIO ; HELD, HARALD ; PACH, MARTIN ; et al.
SIAM Journal on Optimization. 2008, Vol. 19 Issue 4, p1610-1632. 23p.

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13

The backbone method for ultra-high dimensional sparse machine learning.
Bertsimas, Dimitris ; Digalakis Jr, Vassilis
Machine Learning; Jun2022, Vol. 111 Issue 6, p2161-2212, 52p

MACHINE learning SUPERVISED learning DECISION trees SPINE STATISTICAL decision mak...
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14

Sampling and Reconstructing Signals From a Union of Linear Subspaces.
Blumensath, Thomas
IEEE Transactions on Information Theory; Jul2011, Vol. 57 Issue 7, p4660-4671, 12p

DATA compression HILBERT space APPROXIMATION theory ALGORITHMS IMAGE reconstruction INVERSE problems …
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15

ECG compression with Douglas-Peucker algorithm and fractal interpolation.
Guedri, Hichem ; Bajahzar, Abdullah ; Belmabrouk, Hafedh
Mathematical Biosciences & Engineering; 2021, Vol. 18 Issue 4, p3502-3520, 19p, 4 Diagrams, 3 Charts, 4 Graphs

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16

Generic Node Removal for Factor-Graph SLAM.
Carlevaris-Bianco, Nicholas ; Kaess, Michael ; Eustice, Ryan M.
IEEE Transactions on Robotics; Dec2014, Vol. 30 Issue 6, p1371-1385, 15p

GRAPH algorithms SLAM (Robotics) MOBILE robots LOCALIZATION problems (R... MONOCULAR vision
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17

A systematic literature review on long‐term localization and mapping for mobile robots.
Sousa, Ricardo B. ; Sobreira, Héber M. ; Moreira, António Paulo
Journal of Field Robotics; Aug2023, Vol. 40 Issue 5, p1245-1322, 78p

MOBILE robots PARALLEL programming DATA recorders & recordi...
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18

A Survey of Methods for Explaining Black Box Models.
GUIDOTTI, RICCARDO ; MONREALE, ANNA ; RUGGIERI, SALVATORE ; et al.
ACM Computing Surveys. Sep2019, Vol. 51 Issue 5, p1-42. 42p. 3 Color Photographs, 10 Diagrams, 5 Charts, 1 Graph.

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19

Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization.
Huang, Shaoguang ; Zhang, Hongyan ; Pizurica, Aleksandra
IEEE Transactions on Geoscience & Remote Sensing; Apr2022, Vol. 60, p1-17, 17p

DATA dictionaries IMAGE analysis SPARSE matrices
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20

Filtering method of rock points based on BP neural network and principal component analysis.
Xiao, Jun ; Liu, Sidong ; Hu, Liang ; et al.
Frontiers of Computer Science; Dec2018, Vol. 12 Issue 6, p1149-1159, 11p

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