Results 1 to 10 of about 661,406 (161)
LiDAR–camera fusion for road detection using a recurrent conditional random field model [PDF]
Scientific Reports, 2022 Reliable road detection is an essential task in autonomous driving systems. Two categories of sensors are commonly used, cameras and light detection and ranging (LiDAR), each of which can provide corresponding supplements.
Lele Wang, Yingping Huang
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Random field model reveals structure of the protein recombinational landscape. [PDF]
PLoS Computational Biology, 2012 We are interested in how intragenic recombination contributes to the evolution of proteins and how this mechanism complements and enhances the diversity generated by random mutation.
Philip A Romero, Frances H Arnold
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A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking. [PDF]
PLoS ONE, 2015 In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking. The proposed DS-CRF model consists of a series of state layers, where each state layer spatially characterizes
Mohammad Javad Shafiee +2 more
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Service-Oriented Node Scheduling Scheme for Wireless Sensor Networks Using Markov Random Field Model [PDF]
Sensors, 2014 Future wireless sensor networks are expected to provide various sensing services and energy efficiency is one of the most important criterions. The node scheduling strategy aims to increase network lifetime by selecting a set of sensor nodes to provide
Hongju Cheng +3 more
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Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model. [PDF]
PLoS ONE, 2015 3-D ultrasound imaging offers unique opportunities in the field of non destructive testing that cannot be easily found in A-mode and B-mode images. To acquire a 3-D ultrasound image without a mechanically moving transducer, a 2-D array can be used.
Ibrahim Ben Daya +4 more
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Statistical inference of selection and divergence from a time-dependent Poisson random field model. [PDF]
PLoS ONE, 2012 We apply a recently developed time-dependent Poisson random field model to aligned DNA sequences from two related biological species to estimate selection coefficients and divergence time.
Amei Amei, Stanley Sawyer
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Spatially correlated Vs30 estimation in the Beijing area
Frontiers in Earth Science, 2023 Beijing is an international metropolis, that is also an earthquake-prone city. The aims of this study are detailed quantifying and qualifying soil layer properties for an accurate seismic safety evaluation in the Beijing area. The time average shear-wave
Wenxin Liu, Yanjv Peng, Jingjing Wang
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Random-energy model in random fields [PDF]
Physical Review E, 2006 The random-energy model is studied in the presence of random fields. The problem is solved exactly both in the microcanonical ensemble, without recourse to the replica method, and in the canonical ensemble using the replica formalism. The phase diagrams for bimodal and Gaussian random fields are investigated in detail. In contrast to the Gaussian case,
Filho, Luiz O. de Oliveira +2 more
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Random field ϕ 3 model and Parisi-Sourlas supersymmetry
Journal of High Energy Physics, 2022 We use the RG framework set up in [1] to explore the ϕ 3 theory with a random field interaction. According to the Parisi-Sourlas conjecture this theory admits a fixed point with emergent supersymmetry which is related to the pure Lee-Yang CFT in two less
Apratim Kaviraj, Emilio Trevisani
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The Random Field Ising Model [PDF]
Journal of Magnetism and Magnetic Materials, 1991 Ising or Ising-like models in random fields are good representations of a large number of impure materials. A domain argument shows that the normal order is not destroyed by weak random fields in more than two dimensions. Domain wall roughening due to random fields produces metastability and hysteresis.
D.P. Belanger, A.P. Young
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