In this paper, we explore the possibility of generating artificial biomedical images that can be used as a substitute for real image datasets in applied machinelearning tasks. We are focusing on generation of realist...
详细信息
ISBN:
(纸本)9783030354305;9783030354299
In this paper, we explore the possibility of generating artificial biomedical images that can be used as a substitute for real image datasets in applied machinelearning tasks. We are focusing on generation of realistic chest X-ray images as well as on the lymph node histology images using the two recent GAN architectures including DCGAN and PGGAN. The possibility of the use of artificial images instead of real ones for training machinelearning models was examined by benchmark classification tasks being solved using conventional and deep learning methods. In particular, a comparison was made by replacing real images with synthetic ones at the model training stage and comparing the prediction results with the ones obtained while training on the real image data. It was found that the drop of classification accuracy caused by such training data substitution ranged between 2.2% and 3.5% for deep learning models and between 5.5% and 13.25% for conventional methods such as LBP + Random Forests.
This paper presents a new architecture of neural networks designed for patternrecognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Graph of Neural Network (GNN). It is bas...
详细信息
ISBN:
(纸本)076951695X
This paper presents a new architecture of neural networks designed for patternrecognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Graph of Neural Network (GNN). It is based on a set of several little neural networks, each one discriminating only two classes. The principles used to perform the decision of classification are : a branch quality index and a selection by elimination. A significant gain in the global classification rate can be obtained by using a GNN. This is illustrated by tests on databases from the UCl machinelearning database repository. The experimental results show that a GNN can achieve an improved performance in classification.
The proceedings contain 16 papers. The topics discussed include: artificial intelligence for the future of construction;cobots and industrial robots;predictive maintenance for wind turbine bearings: an MLOps approach ...
The proceedings contain 16 papers. The topics discussed include: artificial intelligence for the future of construction;cobots and industrial robots;predictive maintenance for wind turbine bearings: an MLOps approach with the DIAFS machinelearning model;development of an artificial intelligence tool and sensing in informatization systems of mobile robots;PCA-NuSVR framework for predicting local and global indicators of tunneling-induced building damage;design and deployment of data development toolkit in cloud manufacturing environments;research and development of imageprocessing algorithms for effective recognition of various gestures in real time;machinelearning models for the recognition of commands in smart home technologies;responsive dehydration: sensor-driven optimisation of production cycles in a solar dehydrator;and formation of the method of description and control of the relative position of the links of the upper limbs of the grip of an anthropomorphic robot.
It is proved analytically that, whenever the input-output mapping of a one-layered, hard-limited perceptron satisfies a positive, linear independency (PLI) condition, the connection matrix A to meet this mapping can b...
详细信息
It is proved analytically that, whenever the input-output mapping of a one-layered, hard-limited perceptron satisfies a positive, linear independency (PLI) condition, the connection matrix A to meet this mapping can be obtained noniteratively in one step from an algebraic matrix equation containing an N×M input matrix U. Each column of U is a given standard pattern vector, and there are M standard patterns to be classified. It is also analytically proved that sorting out all nonsingular sub-matrices Uk in U can be used as an automatic feature extraction process in this noniterative-learning system. This paper reports the theory, the design, and the experiments of a superfast-learning, optimally-robust, neural network patternrecognition system derived from this novel noniterative learning theory. An unedited video movie showing the speed of learning and the robustness in recognition of this novel patternrecognition system will be demonstrated in life. Comparison to other neural network patternrecognition and feature extraction systems will be discussed in III.
A chosen plaintext steganalysis algorithm is described to isolate the corrupted bits in an image tampered with Hide4PGP V 2.0. The method is developed from the notion of representation of two dimensional image data in...
详细信息
Multiplication is the most widely used operation in a variety of applications such as digital filters and neural networks. In certain applications (imageprocessing), precise computation is not required and, even low-...
详细信息
Nowadays the biometric identification is a part of our life and there are reasons for determining the possibility of applying different methods of a user identification in noisy channel case by using the machine learn...
详细信息
The recent exponential surge in the number of vehicles on our roadways has made congestion and violations important problems. By automating traffic management using an ALPR system, we can improve access control system...
详细信息
Face recognition is an existing and one of most prominent technique of biometrics that includes processing of an image and to be matched with different database. In this procedure, the user matches one person identity...
详细信息
ISBN:
(纸本)9781467368094
Face recognition is an existing and one of most prominent technique of biometrics that includes processing of an image and to be matched with different database. In this procedure, the user matches one person identity with several database images. Various approaches like Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), Local Ternary pattern (LTP) have been used for the purpose of face recognition. These approaches use different features for face recognition purpose. The features used for face recognition are shape, distance between two traits of face and texture features. Texture features are particularly susceptible to the resolution of images, when the resolution changes the calculated textures are not accurate. Texture features computed for low resolution images does not provide better feature information. So there is a big issue in face recognition for low resolution images. In the proposed work, EULBP (Equalized Uniform Local binary pattern) has been implemented for the purpose of low resolution images, but it does not provide better results up to an extent. To improve the recognition accuracy, the aim of this research is to study various approaches and development of new approach used for recognition purpose on low resolution images using texture features of an image which can provide better results.
Outdoor urban scenes typically contain many planar surfaces, which are useful for tasks such as scene reconstruction, object recognition, and navigation, especially when only a single image is available. In such situa...
详细信息
ISBN:
(纸本)9789898425980
Outdoor urban scenes typically contain many planar surfaces, which are useful for tasks such as scene reconstruction, object recognition, and navigation, especially when only a single image is available. In such situations the lack of 3D information makes finding planes difficult;but motivated by how humans use their prior knowledge to interpret new scenes with ease, we develop a method which learns from a set of training examples, in order to identify planar image regions and estimate their orientation. Because it does not rely explicitly on rectangular structures or the assumption of a'Manhattan world', our method can generalise to a variety of outdoor environments. From only one image, our method reliably distinguishes planes from non-planes, and estimates their orientation accurately;this is fast and efficient, with application to a real-time system in mind.
暂无评论