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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
TLDR
A patch-based land use and land cover classification approach using Sentinel-2 satellite images that covers 13 spectral bands and is comprised of ten classes with a total of 27 000 labeled and geo-referenced images is presented.
ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images
TLDR
An overview of the approaches that the participants used, the evaluation measure, and the dataset used in the ICDAR 2011 Robust Reading Competition for detecting/recognizing text in natural scene images is presented.
Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm
TLDR
A histogrambased outlier detection (HBOS) algorithm is presented, which scores records in linear time and assumes independence of the features making it much faster than multivariate approaches at the cost of less precision.
DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images
TLDR
In contrast to most existing table detection and structure recognition methods, which are applicable only to PDFs, DeepDeSRT processes document images, which makes it equally suitable for born-digital PDFs as well as even harder problems, e.g. scanned documents.
Automatic classifier selection for non-experts
TLDR
This paper empirically evaluate five different categories of state-of-the-art meta-features for their suitability in predicting classification accuracies of several widely used classifiers and develops the first open source meta-learning system that is capable of accurately predicting accuraciesof target classifiers.
An open approach towards the benchmarking of table structure recognition systems
TLDR
The approach towards establishing a complete and publicly available, hence open environment for the benchmarking of table spotting and structural analysis is described and free access to the ground truthing tool and evaluation mechanism described is provided.
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
TLDR
A novel deep learning-based anomaly detection approach (DeepAnT) for time series data, which is equally applicable to the non-streaming cases and outperforms the state-of-the-art anomaly detection methods in most of the cases, while performing on par with others.
Overview and Outlook on the Semantic Desktop
TLDR
An overview of the Semantic Desktop paradigm, beginning with the history of the term, a definition, current work and its relevance to knowledge management of the future, and an outlook on the next steps.
PIMO-a Framework for Representing Personal Information Models
TLDR
The PIMO helps users to categorize resources for Personal Information Management (PIM), it is intended to be the integrative part in personalized systems, such as Social Semantic Desktops.
The Multimedia Satellite Task at MediaEval 2018
TLDR
The MediaEval 2018 Multimedia Satellite Task focuses on flooding events and consists of two subtasks that seek to go beyond state-of-the-art flooding map generation by focusing on information about road passability and the accessibility of urban infrastructure.
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