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Classification by discrete optimization

Computer Vision, Graphics, and Image Processing, 1984
Abstract An approach to classification is described where an evaluation function is available. Deterministic classifications are evaluated by a heuristic function, and a special search procedure is applied to find a classification optimizing this function. A specific application to image segmentation is presented, including several examples.
openaire   +1 more source

Discrete Optimization for Agents

International Joint Conference on Autonomous Agents and Multiagent Systems, 2016
Many an agent needs to make a decision of what do to given a limited amount of resources. This is a discrete optimization problem. Recent advances in discrete optimization modelling technology have made it easier than ever before to model difficult ad hoc optimization problems, and apply off the shelf solving technology rapidly and efficiently, while ...
openaire   +2 more sources

STAMPEDE: A Discrete-Optimization Method for Solving Pathwise-Inverse Kinematics

IEEE International Conference on Robotics and Automation, 2019
We present a discrete-optimization technique for finding feasible robot arm trajectories that pass through provided 6-DOF Cartesian-space end-effector paths with high accuracy, a problem called pathwise-inverse kinematics.
D. Rakita, Bilge Mutlu, Michael Gleicher
semanticscholar   +1 more source

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Recent vision and learning studies show that learning compact hash codes can facilitate massive data processing with significantly reduced storage and computation. Particularly, learning deep hash functions has greatly improved the retrieval performance,
Fu-Min Shen   +5 more
semanticscholar   +1 more source

A new Newton metaheuristic algorithm for discrete performance-based design optimization of steel moment frames

, 2020
In this paper a new and efficient metaheuristic algorithm is proposed for discrete performance-based seismic design optimization of steel moment frames.
S. Gholizadeh, M. Danesh, C. Gheyratmand
semanticscholar   +1 more source

A discrete-continuous parameterization (DCP) for concurrent optimization of structural topologies and continuous material orientations

, 2020
Combining topology optimization and continuous orientation design of fiber-reinforced composites is a promising way to pursue lighter and stronger structures.
Yun-Feng Luo   +4 more
semanticscholar   +1 more source

Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm

Applied Soft Computing, 2019
Discrete optimization of truss structures is a hard computing problem with many local minima. Metaheuristic algorithms are naturally suited for discrete optimization problems as they do not require gradient information. A recently developed method called
S. O. Degertekin, L. Lamberti, I. Ugur
semanticscholar   +1 more source

Discrete optimization

Computational Mathematics and Mathematical Physics, 2007
Summary: A survey of some theoretical concepts in discrete optimization is given.
openaire   +1 more source

Discrete Filled Function Method for Discrete Global Optimization

Computational Optimization and Applications, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chi-Kong Ng   +3 more
openaire   +1 more source

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

International Conference on Learning Representations, 2019
Some of the most successful applications of deep reinforcement learning to challenging domains in discrete and continuous control have used policy gradient methods in the on-policy setting.
H. F. Song   +13 more
semanticscholar   +1 more source

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