Results 51 to 60 of about 649,643 (307)
Minimum Conditional Description Length Estimation for Markov Random Fields
, 2016 In this paper we discuss a method, which we call Minimum Conditional Description Length (MCDL), for estimating the parameters of a subset of sites within a Markov random field. We assume that the edges are known for the entire graph $G=(V,E)$.
Neuhoff, David L., Reyes, Matthew G.
core +1 more source
CONDITIONAL RANDOM FIELDS FOR LIDAR POINT CLOUD CLASSIFICATION IN COMPLEX URBAN AREAS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In this paper, we investigate the potential of a Conditional Random Field (CRF) approach for the classification of an airborne LiDAR (Light Detection And Ranging) point cloud.
J. Niemeyer +2 more
doaj +1 more source
Efficient and Scalable Approach to Equilibrium Conditional Simulation of Gibbs Markov Random Fields [PDF]
EPJ Web of Conferences, 2020 We study the performance of an automated hybrid Monte Carlo (HMC) approach for conditional simulation of a recently proposed, single-parameter Gibbs Markov random field.
Žukovič Milan +1 more
doaj +1 more source
Word Recognition with Deep Conditional Random Fields
, 2016 Recognition of handwritten words continues to be an important problem in document analysis and recognition. Existing approaches extract hand-engineered features from word images--which can perform poorly with new data sets.
Chen, Gang +2 more
core +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Extraction of semantic biomedical relations from text using conditional random fields
BMC Bioinformatics, 2008 Background The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools.
Stetter Martin +4 more
doaj +1 more source
On regularity conditions for random fields [PDF]
Proceedings of the American Mathematical Society, 1994 Indexed by the integer lattice of dimension at least two, there exists a nondegenerate strictly stationary random field which is one-dependent with respect to "lattice-halfspaces" but which is also measurable with respect to its own tail sigma-field.
openaire +2 more sources
Remote Sensing, 2019 The fine classification of crops is critical for food security and agricultural management. There are many different species of crops, some of which have similar spectral curves.
Lifei Wei +5 more
semanticscholar +1 more source
Arthritis Care &Research, EarlyView.Objective This study aims to describe the frequency and timing of physician referrals to physical therapists (PTs) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja +4 more
wiley +1 more source
Quantum Conditional Random Field
, 2019 Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinformatics and computer vision. However, training the CRF model is computationally intractable when large scale training samples are processed. Since little work has been done for
Wu, Yusen +5 more
openaire +2 more sources