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In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content po...
The increasing number of cryptocurrencies, as well as the rising number of actors within each single cryptocurrency, inevitably leads to tensions between the respective communities. As with open sourc...
With the availability of massive trajectory data, it is highly valuable to reveal their activity information for many domains such as understanding the functionality of urban regions. This article uti...
The increasing urbanization and industrialization have led to wetland losses in estuarine area of Mingjiang River over past three decades. There has been increasing attention given to produce wetland ...
Similarity assessment is the fundamentally important to various remote sensing applications such as image classification, image retrieval and so on. The objective of similarity assessment is to automa...
In an incendiary 2010 Nature article, M. A. Nowak, C. E. Tarnita and E. O. Wilson present a savage critique of the best known and most widely used framework for the study of social evolution, W. D. Ha...
Most entropy notions H(.) like Shannon or min-entropy satisfy a chain rule stating that for random variables X, Z and A we have H(X|Z, A) ≥ H(X|Z) − |A|. That is, by conditioning on A the entr...
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
Computational notions of entropy (a.k.a. pseudoentropy) have found many applications, including leakage-resilient cryptography, deterministic encryption or memory delegation. The most important tool...
Most spatial data in GIS are not independent, they have high autocorrelation. For example, temperatures of nearby locations are often related. Most of the spatial association rule mining algorithms de...
Coalescence theory predicts when genetic drift at nuclear loci will result in fixation of sequence differences to produce monophyletic gene trees. However, the theory is difficult to appl...
Multi-scale segmentation is an essential step toward higher level image processing in remote sensing. This paper presents a new multi-scale segmentation method based on Statistical Region Merging (SRM...
In the digital world, search engines have been proposed as one of challenging research areas. One of the main issues in search engines studies is query processing, which its aim is to understand user’...
These days, when intervening governments, separately or in coalition, take over a country and reshape its governance, they say that their goal is the establishment of the rule of law. In this project,...
The Chinese traditional architecture called as DaMu structure, which wooden materials were used mainly. The work of historic heritage conservation needs the surveying maps and the 3D model of the bui...

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