Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. [PDF]
IEEE/ACM Trans Comput Biol Bioinform, 2023 Ravikumar V +4 more
europepmc +1 more source
Learning generative texture models with extended Fields-of-Experts [PDF]
, 2009 We evaluate the ability of the popular Field-of-Experts (FoE) to model structure in images. As a test case we focus on modeling synthetic and natural textures.
Geoffrey E. Hinton +5 more
core +1 more source
Myelodysplastic Syndromes: 2026 Update on Diagnosis, Risk‐Stratification and Management
American Journal of Hematology, EarlyView.ABSTRACT Disease Overview The myelodysplastic syndromes (MDS) are a heterogeneous group of myeloid disorders characterized by peripheral blood cytopenias and increased risk of transformation to acute myelogenous leukemia (AML). MDS occurs more frequently in older males and in individuals with prior exposure to cytotoxic therapy.
Guillermo Garcia‐Manero
wiley +1 more source
Unsupervised texture segmentation using multiresolution Markov random fields [PDF]
In this thesis, a multiresolution Markov Random Field (MMRF) model for segmenting textured images without supervision is proposed. Stochastic relaxation labelling is adopted to assign the class label with highest probability to the block (site) being ...
Li, Chang-Tsun
core
Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Revisiting Gaussian Markov random fields and Bayesian disease mapping. [PDF]
Stat Methods Med Res, 2023 MacNab YC.
europepmc +1 more source
Reference fields analysis of a Markov random field model to improve image segmentation [PDF]
, 2010 In Markov random field (MRF) models, parameters such as internal and external reference fields are used. In this paper, the influence of these parameters in the segmentation quality is analyzed, and it is shown that, for image segmentation, a MRF model ...
ERIKA DANAE LOPEZ ESPINOZA +1 more
core
Stationary Markov random fields on a finite rectangular lattice [PDF]
, 1998 —This paper provides a complete characterization of stationary Markov random fields on a finite rectangular (nontoroidal) lattice in the basic case of a second-order neighborhood system.
Frédéric Champagnat +5 more
core +1 more source
On the importance of including both sexes in animal studies – insights from home‐cage monitoring
Biological Reviews, EarlyView.ABSTRACT A review of behavioural studies using home‐cage monitoring (HCM) systems revealed that over 61% of studies used only male subjects, with only 24% including both sexes, despite evidence of substantial behavioural differences between male and female animals. This bias could influence the outcomes of biomedical research.
Maša Čater +12 more
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2004 We present a fast method for road network extraction in satellite images. It can be seen as a transposition of the segmentation scheme "watershed transform region adjacency graph Markov random fields" to the extraction of curvilinear objects.
Géraud Thierry +1 more
doaj +1 more source