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Nature of the collapse transition in interacting self-avoiding trails
(Physical Review E, 2018)
Religious Coping, Experiential Avoidance, Self‑Compassion, and Post‑Traumatic Stress by COVID‑19: a Serial Mediation Study
(2023)
The COVID-19 pandemic has brought consequences to mental health, with religiosity being a relevant coping factor in reducing the negative impact of the health crisis. Based on a convenience sample of Chilean adults, this ...
Grand-canonical solution of semi-flexible self-avoiding trails on the bethe lattice
(Physical Review E, 2018)
Dynamic texture segmentation based on deterministic partially self-avoiding walks
(ElsevierAmsterdam, 2013-09)
Recently there has been a considerable interest in dynamic textures due to the explosive growth of multimedia databases. In addition, dynamic texture appears in a wide range of videos, which makes it very important in ...
Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks
(ElsevierAmsterdam, 2013-09)
Dynamic texture is a recent field of investigation that has received growing attention from computer vision community in the last years. These patterns are moving texture in which the concept of selfsimilarity for static ...
Texture analysis using graphs generated by deterministic partially self-avoiding walks
(ELSEVIER SCI LTD, 2011)
Texture is one of the most important visual attributes for image analysis. It has been widely used in image analysis and pattern recognition. A partially self-avoiding deterministic walk has recently been proposed as an ...
Monte Carlo simulations of polymers with nearest- and next nearest-neighbor interactions on square and cubic lattices
(Journal of Physics A: Mathematical and Theoretical, 2019)
Optic flow contribution to locomotion adjustments in obstacle avoidance
(2012-01-01)
Locomotion generates a visual movement pattern characterized as optic flow. To explore how the locomotor adjustments are affected by this pattern, an experimental paradigm was developed to eliminate optic flow during ...
Self-avoiding random walks
(Wolfram Demonstration Project, 2011)