Segmentation of images is a ubiquitous need of digital pathology. In the process of segmentation, desired boundaries and objects are identified in the image. As there is inconsistency and unpredictability in the histopathology samples, segmentation becomes an important requirement to identify the ROI. ...
This is because many theories underlying the performance of proppant have not been fully understood, such as the theory of proppant embedment and diagenesis, as well as their impact on proppant conductivity performance, which is the current focus of research in proppant studies. This is especially ...
In 2000, a non-field analytical method for solving various problems of energy and information transport has been developed by Kulish and Lage. Based on the Laplace transform technique, this elegant method yields closed-form solutions written in the form of integral equations, which relate local val...
Anomaly detection is a highly important task in the field of data analysis. Traditional anomaly detection approaches often strongly depend on data size, structure and features, while introducing the idea of ensemble into anomaly detection can greatly imp
Alternating Direction Method of Multipliers In subject area: Computer Science The Alternating Direction Method of Multipliers (ADMM) is a first-order method used in computer science to solve convex optimization problems by decomposing them into smaller sub-problems that can be solved independently in a...
Classical first-order sensitivity analysis and ℓ1/2-norm regularization were introduced to define an objective function solved by PSO. The proposed method was verified on a 10-element cantilever beam and was shown to be capable of detecting locations and accurately quantifying the extent of ...
The value function method is not friendly to the continuous action space, while the strategy gradient method can directly optimize the continuous control strategy, which is more suitable for inverse kinematics problems of robotic arms. The PPO algorithm controls the amplitude of policy updates through...
It may then be shown on real and synthetic examples of images with poor data term definition that a contrast driven elastica algorithm according to an embodiment of the invention is superior to the boundary length and unweighted curvature models. 2.2.1. Assessment on a Database with Positive ...
1. A method of decoding images comprising the steps of: extracting motion vector information and quantized DCT coefficients from input information to be decoded; synthesizing a prediction image by performing motion compensation using the motion vector information and a reference image which is a previou...
A method of and system for compensating for geometric distortion in a two-dimensional image finds fiducial marks in the image plane corresponding to fiducial marks in the object plane. The invention i