Results 261 to 270 of about 649,643 (307)

Multi-Illuminant Estimation With Conditional Random Fields

IEEE Transactions on Image Processing, 2014
Most existing color constancy algorithms assume uniform illumination. However, in real-world scenes, this is not often the case. Thus, we propose a novel framework for estimating the colors of multiple illuminants and their spatial distribution in the scene. We formulate this problem as an energy minimization task within a conditional random field over
Shida, Beigpour, Christian, Riess, Joost, van de Weijer, Elli, Angelopoulou   +3 more
openaire   +2 more sources

Conditional Hazard Estimate for Functional Random Fields

Journal of Statistical Theory and Practice, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laksaci, Ali, Mechab, Boubaker
openaire   +2 more sources

Margin Losses for Training Conditional Random Fields

Journal of Mathematical Imaging and Vision, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahmadi, Ehsan, Azimifar, Zohreh
openaire   +2 more sources

Neural Gaussian Conditional Random Fields

2014
We propose a Conditional Random Field (CRF) model for structured regression. By constraining the feature functions as quadratic functions of outputs, the model can be conveniently represented in a Gaussian canonical form. We improved the representational power of the resulting Gaussian CRF (GCRF) model by (1) introducing an adaptive feature function ...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic   +2 more
openaire   +1 more source

Combination of Neural Networks and Conditional Random Fields for Efficient Resume Parsing

2018 International CET Conference on Control, Communication, and Computing (IC4), 2018
Resume parsing is a technique to extract useful information from resumes for further processing such as resume ranking and selection. Different companies process thousands of resumes during their recruitment process using traditional methods like manual ...
C. H. Ayishathahira, C. Sreejith, C. Raseek   +2 more
semanticscholar   +1 more source

Temperature field in random conditions

International Journal of Heat and Mass Transfer, 1991
Abstract A probabilistic finite-element approach for modelling the temperature field in structures is proposed. The theoretical formulation of the problem is described. It presents probabilistic distributions for temperature taking into account the random thermal properties of material.
openaire   +1 more source

Neural conditional random fields

2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Markov networks, yielding a powerful and scalable probabilistic model that we apply to signal labeling tasks.
Do, Trinh Minh Tri, Artières, Thierry
openaire   +1 more source

Empowering Relational Network by Self-attention Augmented Conditional Random Fields for Group Activity Recognition

European Conference on Computer Vision, 2020
Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang   +2 more
semanticscholar   +1 more source

Hidden conditional random fields for face recognition

SPIE Proceedings, 2013
This paper proposes a hidden conditional random field(HCRF) model for face recognition. Face images are separated as a series of block and 2D-DCT feature vectors is extracted in each block. Libsvm is used as a local discriminative model that outputs the association of the feature vectors with latent variables.
openaire   +1 more source

Chunking in Turkish with Conditional Random Fields

2015
In this paper, we report our work on chunking in Turkish. We used the data that we generated by manually translating a subset of the Penn Treebank. We exploited the already available tags in the trees to automatically identify and label chunks in their Turkish translations.
Yıldız, Olcay Taner, Solak, Ercan, Ehsani, Razieh, Görgün, Onur   +3 more
openaire   +2 more sources