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Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife...
In big data era, subsampling or sub-data selection techniques are often adopted to extract a fraction of informative individuals from the massive data. Existing subsampling algorithms focus mainly on ...
Electronic health records (EHR) have provided a great opportunity to exploit personalized health data to optimize clinical decision making and achieve personalized treatment recommendation. In this ta...
Electronic health records (EHR) have provided a great opportunity to exploit personalized health data to optimize clinical decision making and achieve personalized treatment recommendation. In this ta...
The Advanced Land Observing Satellite (ALOS) is developed by the Japanese Aerospace Exploration Agency (JAXA) which was launched in the year 2006 for the Earth observation and exploration purpose. The...
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
The digital management of architectural heritage information is still a complex problem, as a heritage object requires an integrated representation of various types of information in order to develop ...
Profiled side-channel attacks represent the most powerful category of side-channel attacks. In this context, the attacker gains ac- cess of a profiling device to build a precise model which is used to...
We consider the problem of the semantic classification of 3D LiDAR point clouds obtained from urban scenes when the training set is limited. We propose a non-parametric segmentation model for urban sc...
Automatic facial age estimation is a challenging task upcoming in recent years. In this paper, we propose using the supervised deep learning features to improve an accuracy of the existing age estimat...
Highly frequent in language and communication, metaphor represents a significant challenge for Natural Language Processing (NLP) applications. Computational work on metaphor has traditionally evolve...
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented i...
The Mount Cameroon forests risk being disappeared. This threat results from aspects such as lava destruction, the creation of vast plantations, farms and extension of settlements. Being 4095m high fac...
We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given oneexample of an object that appears several times in the image, e.g....
The Wadden Sea is an almost untouched area with a size of about 7300 km2 along the German, Dutch and Danish coast. Because of tide the area is flooded two times a day, creating a very special and sens...

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