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Algorithms, Volume 13, Issue 7

July 2020 - 21 articles

Cover Story: Convolutional neural networks (CNNs) opened the way to unprecedented performance in computer vision tasks. Nevertheless, the sensitivity of CNNs to noise, light conditions, and the wholeness of data, indicate that CNNs still lacks the robustness needed for autonomous robotics. In an attempt to bring computer vision algorithms closer to the capabilities of a human operator, the mechanisms of the human visual system were analyzed. Studies show that the human brain continuously generates predictions based on prior knowledge of the world. These predictions generate contextual hypotheses that bias the outcome of the recognition process. In addition, the brain updates its knowledge based on the gaps between its predictions and the visual feedback. A biologically inspired algorithm was designed that integrates the concepts behind these top-down prediction and learning mechanisms with bottom-up CNNs. View this paper
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Articles (21)

  • Article
  • Open Access
11 Citations
5,412 Views
9 Pages

Equivalence of the Frame and Halting Problems

  • Eric Dietrich and
  • Chris Fields

20 July 2020

The open-domain Frame Problem is the problem of determining what features of an open task environment need to be updated following an action. Here we prove that the open-domain Frame Problem is equivalent to the Halting Problem and is therefore undec...

  • Article
  • Open Access
11 Citations
4,593 Views
25 Pages

An Algorithm for Density Enrichment of Sparse Collaborative Filtering Datasets Using Robust Predictions as Derived Ratings

  • Dionisis Margaris,
  • Dimitris Spiliotopoulos,
  • Gregory Karagiorgos and
  • Costas Vassilakis

17 July 2020

Collaborative filtering algorithms formulate personalized recommendations for a user, first by analysing already entered ratings to identify other users with similar tastes to the user (termed as near neighbours), and then using the opinions of the n...

  • Article
  • Open Access
36 Citations
4,978 Views
15 Pages

17 July 2020

Soil temperature (ST) plays a key role in the processes and functions of almost all ecosystems, and is also an essential parameter for various applications such as agricultural production, geothermal development, and their utilization. Although numer...

  • Article
  • Open Access
12 Citations
3,616 Views
24 Pages

16 July 2020

High order convective Cahn-Hilliard type equations describe the faceting of a growing surface, or the dynamics of phase transitions in ternary oil-water-surfactant systems. In this paper, we prove the well-posedness of the classical solutions for the...

  • Article
  • Open Access
4 Citations
12,569 Views
17 Pages

16 July 2020

A Sudoku puzzle often has a regular pattern in the arrangement of initial digits and it is typically made solvable with known solving techniques called strategies. In this paper, we consider the problem of generating such Sudoku instances. We introdu...

  • Article
  • Open Access
19 Citations
5,482 Views
21 Pages

15 July 2020

Modeling spatiotemporal representations is one of the most essential yet challenging issues in video action recognition. Existing methods lack the capacity to accurately model either the correlations between spatial and temporal features or the globa...

  • Article
  • Open Access
4 Citations
5,170 Views
25 Pages

11 July 2020

For piecewise linear functions f : R n ↦ R we show how their abs-linear representation can be extended to yield simultaneously their decomposition into a convex f ˇ and a concave part f ^ , including a pair of generalized gra...

  • Article
  • Open Access
9 Citations
5,548 Views
22 Pages

11 July 2020

Computer vision is currently one of the most exciting and rapidly evolving fields of science, which affects numerous industries. Research and development breakthroughs, mainly in the field of convolutional neural networks (CNNs), opened the way to un...

  • Review
  • Open Access
10 Citations
5,228 Views
16 Pages

On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures

  • Lerina Aversano,
  • Martina Iammarino,
  • Mimmo Carapella,
  • Andrea Del Vecchio and
  • Laura Nardi

11 July 2020

The technical debt (TD) in a software project refers to the adoption of an inadequate solution from its design to the source code. When developers admit the presence of technical debt in the source code, through comments or commit messages, it is cal...

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Algorithms - ISSN 1999-4893Creative Common CC BY license