Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

Document layout analysis usually relies on computer vision models to understand
documents while ignoring textual information that is vital to capture. Meanwhile, high quality …

This work presents a two-stage text line detection method for historical documents. Each
detected text line is represented by its baseline. In a first stage, a deep neural network called …

Many researchers have observed that TCP's congestion control mechanisms can lead to
bursty traffic flows on modern high-speed networks, with a negative impact on overall …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Textline segmentation in ancient handwritten documents is still considered as a challenging
task in document analysis and recognition field even though various rule-based methods …

We propose a novel algorithm for automatic text line extraction on color and gray scale
manuscript pages without prior binarization. Our algorithm is based on seam carving to …

This paper introduces a new way for text-line extraction by integrating deep-learning based
pre-classification and state-of-the-art segmentation methods. Text-line extraction in complex …

This thesis, first defines the goal of Keyword Spotting from a Decision Theory perspective.
Then, the problem is tackled following a probabilistic formulation. More precisely, Keyword …

Initial coin offerings (ICOs) provide an early-stage financing method for blockchain-based
ventures. During the ICO process, whitepapers are important not only as promotional …