Abstract Clustering is one of the most fundamental unsupervised learning tasks with numerous applications in various fields. methods based on neural networks, called deep clustering methods, leverage representational power networks to enhance performance. ClusterGan constitutes a generative method that exploits adversarial (GANs) perform clustering. However, it inherits some deficiencies GANs, ...

Quartet puzzling (QP), a heuristic tree search procedure for maximum-likelihood trees, has recently been introduced (Strimmer and von Haeseler 1996). This method uses maximum-likelihood criteria for quartets of taxa which are then combined to form trees based on larger numbers of taxa. Thus, QP can be practically applied to data sets comprising a much greater number of taxa than can other searc...

rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. in the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. with traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. four s...

Single-molecule localization microscopy allows practitioners to locate and track labeled molecules in biological systems. When extracting diffusion coefficients from the resulting trajectories, it is common practice perform a linear fit on mean-squared-displacement curves. However, this strategy suboptimal prone errors. Recently, was shown that increments between observed positions provide good...

Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and allowing high-level processing to focus on non-accidental shapes of figural regions. In this paper, we develop a computational model for figure/ground assignment in complex natural scenes. We utilize a large dataset of images anno...

Abstract Various automation systems are currently developed using machine learning techniques. It is used to predict and decide on numerous complex tasks in order reduce the likelihood of human error. Logistic regression one most widely employed (ML) algorithm. In this study, accuracy logistic was compared that random forest for assignment Suvarnabhumi Airport runways arriving aircraft. The mod...

The prevalent communications networks suffer from lack of spectrum and spectrum inefficiency. This has motivated researchers to develop cognitive radio (CR) as a smart and dynamic radio access promised solution. A major challenge to this new technology is how to make fair assignment of available spectrum to unlicensed users, particularly for smart grids communication. This paper introduces an i...