Results 41 to 50 of about 103,329 (151)
Sufficient dimension reduction for visual sequence classification [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensionality reduction can be employed to find a low-dimensional representation on which classification can be done more efficiently.
Alex Shyr +2 more
openaire +1 more source
Multiple phenotype association tests based on sliced inverse regression
BMC BioinformaticsBackground Joint analysis of multiple phenotypes in studies of biological systems such as Genome-Wide Association Studies is critical to revealing the functional interactions between various traits and genetic variants, but growth of data in ...
Wenyuan Sun +3 more
doaj +1 more source
Conditional variance estimator for sufficient dimension reduction
Bernoulli, 2022 23 pages, 3 ...
Fertl, Lukas, Bura, Efstathia
openaire +2 more sources
Model averaging‐based sufficient dimension reduction
Stat, 2022 Sufficient dimension reduction is intended to project high‐dimensional predictors onto a low‐dimensional space without loss of information on the responses. Classical methods, such as sliced inverse regression, sliced average variance estimation and directional regression, are backbones of many modern sufficient dimension methods and have gained ...
Min Cai, Ruige Zhuang, Zhou Yu, Ping Wu
openaire +2 more sources
Accelerating of Image Retrieval in CBIR System with Relevance Feedback
EURASIP Journal on Advances in Signal Processing, 2007 Content-based image retrieval (CBIR) system with relevance feedback, which uses the algorithm for feature-vector (FV) dimension reduction, is described.
Radosavljević Vladan +7 more
doaj +2 more sources
Some dimension reduction strategies for the analysis of survey data
Journal of Big Data, 2017 In the era of big data, researchers interested in developing statistical models are challenged with how to achieve parsimony. Usually, some sort of dimension reduction strategy is employed.
Jiaying Weng, Derek S. Young
doaj +1 more source
Sufficient Dimension Reduction for Interactions
, 2020 Dimension reduction lies at the heart of many statistical methods. In regression, dimension reduction has been linked to the notion of sufficiency whereby the relation of the response to a set of predictors is explained by a lower dimensional subspace in the predictor space.
Park, Hyung +3 more
openaire +2 more sources
The Alternating Direction Method of Multipliers for Sufficient Dimension Reduction
Journal of MathematicsThe minimum average variance estimation (MAVE) method has proven to be an effective approach to sufficient dimension reduction. In this study, we apply the computationally efficient optimization algorithm named alternating direction method of multipliers
Sheng Ma, Qin Jiang, Zaiqiang Ku
doaj +1 more source
Impact of informational dimension and information on the operation cost [PDF]
Војно дело, 2014 Despite the disappearance of the bipolar world, the mankind has not yet become free from challenges, risks and threats to peace and security. Armed conflicts have remained a part of reality, and new security challenges, risks and threats have emerged ...
Miladinović Mića, Šipka Branko
doaj +1 more source
LDR: A Package for Likelihood-Based Sufficient Dimension Reduction
Journal of Statistical Software, 2011 We introduce a new mlab software package that implements several recently proposed likelihood-based methods for sufficient dimension reduction. Current capabilities include estimation of reduced subspaces with a fixed dimension d, as well as estimation ...
R. Dennis Cook +2 more
doaj