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Blind inverse light transport using unrolling network
Passive Non-Line-Of-Sight (NLOS) imaging techniques have drawn increasing attention for their ability to recover hidden objects that are not visible...
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Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes
Dynamic Treatment Regimes (DTRs) are adaptive treatment strategies that allow clinicians to personalize dynamically the treatment for each patient...
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Polynomial Approximation of Inverse sqrt Function for FHE
Inverse sqrt and sqrt function have numerous applications in linear algebra and machine learning such as vector normalisation, eigenvalue...
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A survey of inverse reinforcement learning
Learning from demonstration, or imitation learning, is the process of learning to act in an environment from examples provided by a teacher. Inverse...
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Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks
Recently, learning-based multi-view stereo methods have achieved promising results. However, most of them overlook the visibility difference among...
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PINN-based forward and inverse bending analysis of nanobeams on a three-parameter nonlinear elastic foundation including hardening and softening effect using nonlocal elasticity theory
This paper introduces the application of Physics-Informed Neural Network (PINN), a novel class of scientific machine learning techniques, for...
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Formalization of Research Heuristics for the Problems of Cognitive Sociology
The paper deals with the problems of the formalization of research heuristics used to solve problems of cognitive sociology. The proposed approach is...
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Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
We introduce an algorithm to solve linear inverse problems regularized with the total (gradient) variation in a gridless manner. Contrary to most...
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A beta salp swarm algorithm meta-heuristic for inverse kinematics and optimization
This paper first reviews heuristic-based and bio-inspired contributions in inverse kinematics. A new inverse kinematics solver is then proposed based...
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Structural inverse analysis of concrete dams: considering residual hydration heat effect on dam displacements
This paper studies the macro effect of residual hydration heat on dam displacements and the application of the metaheuristic algorithm in structural...
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Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
In real-world applications, inferring the intentions of expert agents (e.g., human operators) can be fundamental to understand how possibly...
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Harris Hawk Optimization Algorithm Based on Cauchy Distribution Inverse Cumulative Function and Tangent Flight Operator
Harris Hawk Optimization (HHO) algorithm is a new population-based and nature-inspired optimization paradigm, which has strong global search ability,...
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Study and comparison of different Machine Learning-based approaches to solve the inverse problem in Electrical Impedance Tomographies
Electrical Impedance Tomography (EIT) is a non-invasive technique used to obtain the electrical internal conductivity distribution from the interior...
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Hessian Initialization Strategies for \(\ell \) -BFGS Solving Non-linear Inverse Problems
\(\ell \) -BFGS is the...
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Inverse Kinematics and Path Planning of Manipulator Using Real Quantifier Elimination Based on Comprehensive Gröbner Systems
Methods for inverse kinematics computation and path planning of a three degree-of-freedom (DOF) manipulator using the algorithm for quantifier...
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Optimization Problems and Algorithms
This chapter starts by highlighting some domains of practical problems where optimization is or can be commonly applied. Then, the focus is shifted...
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A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods
The utilization of benchmarking techniques has a crucial role in the development of novel optimization algorithms, and also in performing comparisons...
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A robust multiplicative watermarking technique for digital images in curvelet domain using normal inverse Gaussian distribution
The illegal duplication of digital copies became easier because of increased communication speed and rapid growth of internetworked multimedia...
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Efficient three-way SVM for three-class classification problems
Many classification problems in the real world are inherently multi-class. However, most of the classifiers are binary. Solving K -class...
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A dynamic range adjustable inverse tone map** operator based on human visual system
Conventional inverse tone map** operator (iTMO) reconstructs high dynamic range (HDR) images with fixed dynamic range and tend to produce extended...
