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A first look at user activity on tinder
Mobile dating apps have become a popular means to meet potential partners. Although
several exist, one recent addition stands out amongst all others. Tinder presents its users …
several exist, one recent addition stands out amongst all others. Tinder presents its users …
Sea-cnn: Scalable processing of continuous k-nearest neighbor queries in spatio-temporal databases
Location-aware environments are characterized by a large number of objects and a large
number of continuous queries. Both the objects and continuous queries may change their …
number of continuous queries. Both the objects and continuous queries may change their …
Symbol spotting for architectural drawings: state-of-the-art and new industry-driven developments
This review paper offers a contemporary literature survey on symbol spotting in architectural
drawing images. Research on isolated symbol recognition is quite mature; the same cannot …
drawing images. Research on isolated symbol recognition is quite mature; the same cannot …
From optical music recognition to handwritten music recognition: a baseline
Abstract Optical Music Recognition (OMR) is the branch of document image analysis that
aims to convert images of musical scores into a computer-readable format. Despite decades …
aims to convert images of musical scores into a computer-readable format. Despite decades …
A survey on handwritten documents word spotting
Along with the explosive growth of the amount of handwritten documents that are preserved,
processed and accessed in a digital form, handwritten document images word spotting has …
processed and accessed in a digital form, handwritten document images word spotting has …
Symbol spotting on digital architectural floor plans using a deep learning-based framework
This papers focuses on symbol spotting on real-world digital architectural floor plans with a
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …
CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal
The analysis of music scores has been an active research field in the last decades.
However, there are no publicly available databases of handwritten music scores for the …
However, there are no publicly available databases of handwritten music scores for the …
Handwritten historical music recognition by sequence-to-sequence with attention mechanism
Despite decades of research in Optical Music Recognition (OMR), the recognition of old
handwritten music scores remains a challenge because of the variabilities in the handwriting …
handwritten music scores remains a challenge because of the variabilities in the handwriting …
Musigraph: Optical music recognition through object detection and graph neural network
During the last decades, the performance of optical music recognition has been increasingly
improving. However, and despite the 2-dimensional nature of music notation (eg notes have …
improving. However, and despite the 2-dimensional nature of music notation (eg notes have …
A detector for page-level handwritten music object recognition based on deep learning
Handwritten music recognition (HMR) is the technology of transcribing the content of images
of music scores. The accurate detection of music objects at the page level is one of the main …
of music scores. The accurate detection of music objects at the page level is one of the main …