Retinal vessel segmentation from retinal images is an essential task for developing the computer-aided diagnosis system diseases. Efforts have been made on high-performance deep learning-based approaches to segment in end-to-end manner. However, acquisition of and labels requires onerous work professional clinicians, which results smaller training dataset with incomplete labels. As known, data-...

In this paper we present several results obtained by experimenting with Bayesian minimum Maha-lanobis distance and k-nearest neighbor classiica-tion methods in a medical domain. The training set contains of four classes of diierent patholo-gies. Individual pathologies are represented in terms of their contour description, by a high-dimensional vector (the modal vector) abstracting their shape. ...

A method of ray tracing for free-form optical surfaces has been developed. The ray tracing through such surfaces is based on Delaunay triangulation of the discrete data of the surface and is related to finite-element modeling. Some numerical examples of applications to analytical, noisy, and experimental free-form surfaces (in particular, a corneal topography map) are presented. Ray-tracing res...

The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, and information retrieval applications. Effective rank aggregation becomes difficult in real-world situations in which the rankings are noisy, incomplete, or even disjoint. We address these difficulties by extending sev...

A cuboid is a geometric primitive characterized by six planes with spatial constraints, such as orthogonality and parallelism. These characteristics uniquely define cuboid. Therefore, previous modeling schemes have used these hard which narrowed the solution space for estimating parameters of However, under high noise occlusion conditions, may contain only false or no solutions, called an over-...

Modal verbs in English are challenging to learn by speakers of other languages. The purpose of thiswas to shed light on the use of gesture in learning English modal verbs by Persian-speaking children.To achieve this, 60 elementary Iranian learners, studying at some institutes in Karaj took part in thisstudy. The participants were randomly put into one experimental group and one control group. T...

Recognizing and manipulating objects is an important task for mobile robots performing useful services in everyday environments. While existing techniques for object recognition related to manipulation provide very good results even for noisy and incomplete data, they are typically trained using data generated in an offline process. As a result, they do not enable a robot to acquire new object ...

Sensor networks are estimated to drive the formation of the future Internet, with stream reasoning responsible for analysing sensor data. Stream reasoning is defined as real time logical reasoning on large, noisy, heterogeneous data streams, aiming to support the decision process of large numbers of concurrent querying agents. In this research we exploited non-monotonic rule-based systems for h...

Inference of fields defined in space and time from observational data is a core discipline many scientific areas. This work approaches the problem Bayesian framework. The proposed method based on statistically homogeneous random demonstrates how to reconstruct field together with its prior correlation structure data. model described non-parametric fashion solely builds fundamental physical assu...

We consider analysis of noisy and incomplete hyperspectral imagery, with the objective of removing the noise and inferring the missing data. The noise statistics may be wavelength-dependent, and the fraction of data missing (at random) may be substantial, including potentially entire bands, offering the potential to significantly reduce the quantity of data that need be measured. To achieve thi...