Results 291 to 300 of about 2,707,715 (327)
Some of the next articles are maybe not open access.
ACM SIGGRAPH 2013 Talks, 2013
Light propagation within translucent materials can be described by a BSSRDF [Jensen et al. 2001]. The main difficulty in integrating this effect lies in the generation of well-distributed samples on the surface within the support of the rapidly decaying BSSRDF profile.
Alan King +3 more
openaire +1 more source
Light propagation within translucent materials can be described by a BSSRDF [Jensen et al. 2001]. The main difficulty in integrating this effect lies in the generation of well-distributed samples on the surface within the support of the rapidly decaying BSSRDF profile.
Alan King +3 more
openaire +1 more source
Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling
Scandinavian Journal of Statistics, 2003Abstract. The sampling‐importance resampling (SIR) algorithm aims at drawing a random sample from a target distribution π. First, a sample is drawn from a proposal distributionq, and then from this a smaller sample is drawn with sample probabilities proportional to the importance ratios π/q.
Skare, Øivind +2 more
openaire +1 more source
Multiple Importance Sampling for PET
IEEE Transactions on Medical Imaging, 2014This paper proposes the application of multiple importance sampling in fully 3-D positron emission tomography to speed up the iterative reconstruction process. The proposed method combines the results of lines of responses (LOR) driven and voxel driven projections keeping their advantages, like importance sampling, performance and parallel execution on
László Szirmay-Kalos +2 more
openaire +2 more sources
Advances in Lifted Importance Sampling
Proceedings of the AAAI Conference on Artificial Intelligence, 2021We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial variance reduction over conventional importance sampling by using various lifting rules that take advantage of the symmetry in the relational representation ...
Vibhav Gogate +2 more
openaire +1 more source
Optimal multiple importance sampling
ACM Transactions on Graphics, 2019Multiple Importance Sampling (MIS) is a key technique for achieving robustness of Monte Carlo estimators in computer graphics and other fields. We derive optimal weighting functions for MIS that provably minimize the variance of an MIS estimator, given a set of sampling techniques.
Ivo Kondapaneni +5 more
openaire +1 more source
Continuous multiple importance sampling
ACM Transactions on Graphics, 2020Multiple importance sampling (MIS) is a provably good way to combine a finite set of sampling techniques to reduce variance in Monte Carlo integral estimation. However, there exist integration problems for which a continuum of sampling techniques is available.
Rex West +3 more
openaire +1 more source
GAN with autoencoder and importance sampling
SIGGRAPH Asia 2018 Posters, 2018Deep generative model such as generative adversarial networks (GAN) has shown impressive achievements in computer graphics applications. GAN is trained to learn the distribution of target data and is able to generate new samples similar to the original target data.
Gahye Lee, Seungkyu Lee 0001
openaire +1 more source
Importance Sampling Simulation in UltraSAN
SIMULATION, 1994Traditional simulation techniques perform poorly when estimating performance measures based on rare events. One solution to this problem is the use of importance sampling. However, two problems that have limited the use of importance sampling are the lack of a formal framework for specifying importance sampling strategies, and the fact that in most ...
W. Douglas Obal II, William H. Sanders
openaire +1 more source
Importance Sampling and the Cyclic Approach
Operations Research, 2001The method of importance sampling is widely used for efficient rare-event simulation of stochastic systems. This method involves simulating the system under a new distribution that accentuates the probability along the most likely paths to the rare event.
openaire +1 more source
A review and assessment of importance sampling methods for reliability analysis
Structural Safety, 2022Armin Tabandeh +2 more
exaly