Results 41 to 50 of about 437,723 (274)
Camera matching based on spatiotemporal activity and conditional random field model
IET Computer Vision, 2014 In this study, the authors investigate how to find correspondences (pixel‐level matches) between two video sequences with overlapping views, recorded by different stationary uncalibrated video cameras, without imposing any constrains on, or requiring any
Liu Xiaokai, Wang Hongyu, Gao Hongbo
doaj +1 more source
Consistent estimation of the basic neighborhood of Markov random fields [PDF]
, 2006 For Markov random fields on $\mathbb{Z}^d$ with finite state space, we address the statistical estimation of the basic neighborhood, the smallest region that determines the conditional distribution at a site on the condition that the values at all other ...
Csiszár, Imre, Talata, Zsolt
core +4 more sources
Improving part-of-speech tagging in Amharic language using deep neural network
Heliyon, 2023 To date, several POS taggers have been introduced to facilitate the success of semantic analysis for different languages. However, the task of POS tagging becomes a bit intricate in morphologically complex languages, like Amharic.
Sintayehu Hirpassa, G.S. Lehal
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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
Conditional Random Field Autoencoders for Unsupervised Structured Prediction [PDF]
, 2014 We introduce a framework for unsupervised learning of structured predictors with overlapping, global features. Each input's latent representation is predicted conditional on the observable data using a feature-rich conditional random field.
Ammar, Waleed +2 more
core +2 more sources
Dialogue Act Recognition via CRF-Attentive Structured Network
, 2017 Dialogue Act Recognition (DAR) is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Ang Jeremy +6 more
core +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
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
Remote Sensing, 2019 Classification of hyperspectral images is a challenging task owing to the high dimensionality of the data, limited ground truth data, collinearity of the spectra and the presence of mixed pixels.
Vera Andrejchenko +3 more
doaj +1 more source
A Conditional Random Field for Multiple-Instance Learning [PDF]
, 2010 We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discriminative unary instance classifiers and pairwise dissimilarity measures.
Deselaers, T., Ferrari, V.
core +1 more source