Results 31 to 40 of about 3,766,353 (290)
Designing and Explaining the National Map Criteria of the Geography of Nostalgia Based on the Information Management of Social Networks with a Qualitative Approach [PDF]
علوم و فنون مدیریت اطلاعات, 2023 Purpose: The Nostalgic Memories in social networks, by reminding us that life has not always been difficult, instill a sense of stability and the ability to overcome difficulties.
Yoones Yoonesian, Mohammad Reza Vasfi
doaj +1 more source
PCA-Based Robust Motion Data Recovery [PDF]
IEEE Access, 2020 Human motion tracking is a prevalent technique in many fields. A common difficulty encountered in motion tracking is the corrupted data is caused by detachment of markers in 3D motion data or occlusion in 2D tracking data. Most methods for missing markers problem may quickly become ineffective when gaps exist in the trajectories of multiple markers for
Zhuorong Li +4 more
openaire +3 more sources
Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation [PDF]
, 2014 We consider mark–recapture–recovery data with additional individual time-varying continuous covariate data. For such data it is common to specify the model parameters, and in particular the survival probabilities, as a function of these covariates to ...
Buckland, Stephen Terrence +2 more
core +2 more sources
Analysis and equalization of data-dependent jitter [PDF]
, 2006 Data-dependent jitter limits the bit-error rate (BER) performance of broadband communication systems and aggravates synchronization in phase- and delay-locked loops used for data recovery.
Buckwalter, James F., Hajimiri, Ali
core +1 more source
CURE: Curvature Regularization for Missing Data Recovery [PDF]
SIAM Journal on Imaging Sciences, 2020 17 pages, 7 figures, 4 ...
Bin Dong +3 more
openaire +2 more sources
Recovering Individual Data In The Presence Of Group And Individual Effects [PDF]
, 1973 The ecological fallacy of relating variables on the group level, when the individual-level relationship is desired, can only be avoided by using individual-level data.
Iversen, Gudmund R.
core +3 more sources
Recovery of a quarkonium system from experimental data
, 2000 For confining potentials of the form q(r)=r+p(r), where p(r) decays rapidly and is smooth for r>0, it is proved that q(r) can be uniquely recovered from the data {E_j,s_j}, where E_j are the bound states energies and s_j are the values of u'_j(0), and ...
A G Ramm +4 more
core +1 more source
, 2020 Modern scientific instruments produce vast amounts of data, which can overwhelm the processing ability of computer systems. Lossy compression of data is an intriguing solution, but comes with its own drawbacks, such as potential signal loss, and the need
Alistarh, Dan +7 more
core +1 more source
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
, 2016 This paper explores and analyzes two randomized designs for robust Principal Component Analysis (PCA) employing low-dimensional data sketching. In one design, a data sketch is constructed using random column sampling followed by low dimensional embedding,
Atia, George, Rahmani, Mostafa
core +1 more source
Syntactical method for reconstructing highly fragmented OOXML files
Радіоелектронні і комп'ютерні системи, 2023 A common task in computer forensics is to recover files that lack file system metadata. In the case of searching for file fragments in unallocated space, file carving is the most often used method, which is ideal for unfragmented data.
Maksym Boiko, Viacheslav Moskalenko
doaj +1 more source