Results 221 to 230 of about 286,362 (268)

MxDiffusion: A Physics-Aware Maxwell's Law-Guided Diffusion Model Strategy for Inverse Photonic Metasurface Design. [PDF]

Nano Lett
Mondal S, Park T, Biswas S, Wang AX, Cai W.   +4 more
europepmc   +1 more source

A conditional random fields method for RNA sequence-structure relationship modeling and conformation sampling.

Bioinformatics, 2011
Wang Z, Xu J.
europepmc   +1 more source

Infinite Conditional Random Fields

IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 1, pp. 170-177, 2013
K. Bousmalis, S. Zafeiriou, L.P. Morency & M. Pantic   +2 more
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Hidden Conditional Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time.
Louis-Philippe Morency
exaly   +3 more sources

Conditional Topic Random Fields [PDF]

, 2018
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assignments of different words are conditionally independent. Some work exists to address the second limitation but no work exists to address both.
Jun Zhu 0001, Eric P. Xing
openaire   +1 more source

Efficient robust conditional random fields

IEEE Transactions on Image Processing, 2015
Conditional random fields (CRFs) are a flexible yet powerful probabilistic approach and have shown advantages for popular applications in various areas, including text analysis, bioinformatics, and computer vision. Traditional CRF models, however, are incapable of selecting relevant features as well as suppressing noise from noisy original features ...
Dongjin Song, Wei Liu 0005, Tianyi Zhou 0001, Dacheng Tao, David A. Meyer 0001   +4 more
openaire   +2 more sources

Conditioned Simulations of Random Velocity Fields

Mathematical Geosciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geraets, David, Lajaunie, Christian, Ruffo, P.   +2 more
openaire   +1 more source

Model fusion of conditional random fields

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007
This paper introduces two model fusion methods on a series of sub-models of Conditional Random Fields (CRFs): majority voting and feature fusion. The former performs on the results of each participant without any consideration about the underlying details of each sub-model, and the latter takes place on feature level to produce modified feature weights
Lu Li, Xuan Wang 0002, Yanbing Yu, Xiaolong Wang 0001   +3 more
openaire   +1 more source