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Found 13 papers, 1 papers with code
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality
The algorithm discriminates mortality with an AUC of 0. 83 (95% CI 0. 79-0. 87) surpassing the discrimination of the RCRI score with an AUC of 0. 67 (CI 0. 61-0. 72) in the held out test cohort.
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Therefore, BM motion estimation can be approached as an optimization problem, where the goal is to find the best matching block within a search space.
An improved computer vision method for detecting white blood cells
This paper presents an algorithm for the automatic detection of WBC embedded into complicated and cluttered smear images that considers the complete process as a multi-ellipse detection problem.
A swarm optimization algorithm inspired in the behavior of the social-spider
In the proposed algorithm, individuals emulate a group of spiders which interact to each other based on the biological laws of the cooperative colony.
Seeking multi-thresholds for image segmentation with Learning Automata
In this approach, one 1D histogram of a given image is approximated through a Gaussian mixture model whose parameters are calculated using the LA algorithm.
Circle detection using Discrete Differential Evolution Optimization
Experimental results on several synthetic and natural images with varying range of complexity validate the efficiency of the proposed technique considering accuracy, speed, and robustness.
Circle detection by Harmony Search Optimization
Guided by the values of this objective function, the set of encoded candidate circles are evolved using the HSA so that they can fit to the actual circles on the edge map of the image (optimal harmony).
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization
This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation.
Circle detection on images using Learning Automata
Guided by the values of such reinforcement signal, the probability set of the encoded candidate circles is modified through the LA algorithm so that they can fit to the actual circles on the edge map.
Robust Fuzzy corner detector
Reliable corner detection is an important task in determining the shape of different regions within an image.
Fast algorithm for Multiple-Circle detection on images using Learning Automata
The detection process is considered as a multi-modal optimization problem, allowing the detection of multiple circular shapes through only one optimization procedure.
Opposition Based ElectromagnetismLike for Global Optimization
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions.
Multi-ellipses detection on images inspired by collective animal behavior
This paper presents a novel and effective technique for extracting multiple ellipses from an image.
