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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Quantum Algorithms for High-Dimensional Sampling Problems
高维采样 量子算法 高维抽样问题
2023/4/14
High-dimensional sampling problems are ubiquitous in statistics, operations research, machine learning, etc. In this talk, I will introduce quantum algorithms for two important problems in high-dimens...
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs（图）
GPU 流水线 大型图形 深度学习
2023/6/20
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Failure-informed adaptive sampling for PINNs
PINN 故障知情 自适应 采样
2023/5/8
Physics-informed neural networks (PINNs) have emerged as an effective technique for solving PDEs in a wide range of domains. Recent research has demonstrated, however, that the performance of PINNs ca...
Bug Isolation via Remote Program Sampling
bug isolation random sampling assertions feature selection statistical debugging logistic regression
2016/5/24
We propose a low-overhead sampling infrastructure for gathering information from the executions experienced by a program’s user community. Several example applications illustrate ways to use sampled i...
Many computer scientists think of a program as either correct (i.e. it meets some specification) or incorrect (i.e. it does not meet some specification). But industrial software development is as much...
Software-based Multipath Mitigation: Sampling for Multipath Invariance
Software-based Multipath Mitigation Sampling Multipath Invariance
2015/6/29
Multipath potentially introduces a significant bias error into GPS code phase positioning solutions. That error is dependent on the amplitude, delay, phase, and phase rate of the multipath with respec...
Up-sampling Dependent Frame Rate Reduction for Low Bit-rate Video Coding
Up-sampling Dependent Frame Rate Video Coding
2013/7/24
In low bit rate video coding, the frame rate of input sequence can be reduced to the half or even smaller portion by skipping or deleting frames before compression, and then the temporal resolution is...
Bayesian Inference and Prediction of Burr Type XII Distribution for Progressive First Failure Censored Sampling
Burr Type XII Distribution Progressive First-Failure Censored Sample Bayesian Estimations Gibbs Sampling Markov Chain Monte Carlo Posterior Predictive Density
2013/1/28
This paper deals with Bayesian inference and prediction problems of the Burr type XII distribution based on progressive first failure censored data. We consider the Bayesian inference under a squared ...
View Dependent Layer Sampling: An Approach to Hardware Implementation of Volume Ray Casting
2007/11/2
AbstractRay casting is a widely recognized method for high quality volume rendering. It traverses and samples the volume data ray by ray in image space. Traditionally, the algorithm is implemented in ...
Re-sampling for Chinese Sign Language Recognition
Re-sampling Chinese Sign Language Recognition
2010/12/15
In Sign Language recognition, one of the problems is to collect enough data. Data collection for both training and testing is a laborious but necessary step. Almost all of the statistical methods used...
Estimation of Software Reliability by Stratified Sampling
cluster analysis operational testing software reliability software testing statistical testing stratified sampling
2014/5/7
A new approach to software reliability estimation is presented that combines operational
testing with stratified sampling in order to reduce the number of program executions that
must be checked man...