Results 121 to 130 of about 33,003,501 (342)
Semantic Image Segmentation with Contextual Hierarchical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Semantic segmentation is the problem of assigning an object label to each pixel. It unifies the image segmentation and object recognition problems.
Mojtaba Seyedhosseini, T. Tasdizen
semanticscholar +1 more source
Improving the performance of Hierarchical Hidden Markov Models on Information Extraction tasks [PDF]
, 2006 This thesis presents novel methods for creating and improving hierarchical hidden Markov models. The work centers around transforming a traditional tree structured hierarchical hidden Markov model (HHMM) into an equivalent model that reuses repeated sub-
Chou, Lin-Yi
core
FEBS Open Bio, EarlyView.Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
Сравнительная политикаThis article endeavors to construct a composite indicator designed to facilitate the comparative assessment of institutional capacities across diverse political systems.
I. Ye. Gorelskiy
doaj +1 more source
Unimodular binary hierarchical models
Journal of Combinatorial Theory, Series B, 2017 Associated to each simplicial complex is a binary hierarchical model. We classify the simplicial complexes that yield unimodular binary hierarchical models. Our main theorem provides both a construction of all unimodular binary hierarchical models, together with a characterization in terms of excluded minors, where our definition of a minor allows the ...
Daniel Irving Bernstein, Seth Sullivant
openaire +2 more sources
Bayesian hierarchical model for the prediction of football results [PDF]
, 2010 The problem of modelling football data has become increasingly popular in the last few years and many different models have been proposed with the aim of estimating the characteristics that bring a team to lose or win a game, or to predict the score of a
Baio, G +3 more
core +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Hierarchical Freezing in a Lattice Model
Physical Review Letters, 2012 6 pages; 5 figures (minor changes, reformatted)
Byington, Travis W. +1 more
openaire +4 more sources
Hierarchical games and their applications in reasoning about reactive systems
, 2010 We present a unified game-based approach for branching-time model checking of hierarchical systems. Such systems are exponentially more succinct than standard state-transition graphs, as repeated sub-systems are described only once.
MURANO, ANIELLO, O. Kupferman
core
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source