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The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not require centralizin...
We study the problem of designing efficient network sequentially. In each period, the planner connects two unlinked agents in the network formed in previous periods, then the agents play a game with l...
The evaluation of fish stocks exploitation is a complex task that comprehends the analysis of several types of data including information on the spatial and temporal dynamics of commercial fishing fle...
The paper derives a general Central Limit Theorem (CLT) and asymptotic distributions for sample moments related to panel data models with large . The results allow for the data to be cross sec...
We present a sequential multi-stage segment-based modelling from images procedure designed to model the fine geometric details with high-resolution meshes. Results from one stage guide the next stage....
This study presents a field-based crop mapping through sequential masking classification of multi-temporal Landsat-7 ETM+ images acquired in May, July, and August 2000 in Karacabey, Turkey. First, t...
3D city modelling from airborne imagery includes mainly two parts: (1) image processing procedures and (2) 3D modelling for manmade objects such as buildings, roads and other objects. Line extraction ...
With increasing widespread use of three-dimensional data, the demand for simplified data acquisition is also increasing. The range camera, which is a simplified sensor, can acquire a dense-range image...
Time sequential Landsat MSS and TM images were used to map land use/cover of the Atlanta metropolitan area for the past 25 years as a component of the NASA-funded Project ATLANTA (ATlanta Land-use AN...
This paper presents a Maximum Sequential Similarity Reasoning (MSSR) algorithm based method for co-registration of 3D TLS data and 2D floor plans. The co-registration consists of two tasks: estimating...
The paper deals with a new sequential procedure to perform unsupervised LIDAR points classification by iteratively studying skewness and kurtosis for elevation and intensity point distribution values....
Digital Building Model is an important component in many applications such as city modelling, natural disaster planning, and aftermath evaluation. The importance of accurate and up-to-date building mo...
Vectorization of cartographic features is a difficult task in geographic information acquisition from topographic maps. This paper presents a semi-automatic approach to linear feature vectorization ...

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