Results 31 to 40 of about 4,822,255 (284)
Efficient data representation for XML in peer-based systems [PDF]
, 2010 Purpose - New directions in the provision of end-user computing experiences mean that the best way to share data between small mobile computing devices needs to be determined.
Christopher, Foley +3 more
core +1 more source
Assessing haptic properties for data representation [PDF]
, 2003 This paper describes the results of a series of forced choice design experiments investigating the discrimination of material properties using a PHANToM haptic device.
Brewster, S.A., Wall, S.A.
core +3 more sources
Multiple Graph Regularized Concept Factorization With Adaptive Weights
IEEE Access, 2018 Many traditional concept factorization methods employ single graph to approximate the manifold structure of data. Therefore, they cannot capture the underlying geometric structure hidden in data effectively.
Zhenqiu Shu +5 more
doaj +1 more source
Robust Graph Regularized Nonnegative Matrix Factorization
IEEE Access, 2022 Nonnegative Matrix Factorization (NMF) has become a popular technique for dimensionality reduction, and been widely used in machine learning, computer vision, and data mining. Existing unsupervised NMF methods impose the intrinsic geometric constraint on
Qi Huang +3 more
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Variations in Variational Autoencoders - A Comparative Evaluation
IEEE Access, 2020 Variational Auto-Encoders (VAEs) are deep latent space generative models which have been immensely successful in many applications such as image generation, image captioning, protein design, mutation prediction, and language models among others.
Ruoqi Wei +4 more
doaj +1 more source
The Structure Transfer Machine Theory and Applications [PDF]
, 2019 Representation learning is a fundamental but challenging problem, especially when the distribution of data is unknown. We propose a new representation learning method, termed Structure Transfer Machine (STM), which enables feature learning process to ...
Han, Jungong +5 more
core +2 more sources
A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
, 2009 We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
A. Lemmens +8 more
core +1 more source
Voxel selection in fMRI data analysis based on sparse representation [PDF]
, 2009 Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based algorithm for detection of voxels in functional MRI (fMRI)
Feng, Jianfeng +5 more
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Scanner Invariant Representations for Diffusion MRI Harmonization [PDF]
, 2020 Purpose: In the present work we describe the correction of diffusion-weighted MRI for site and scanner biases using a novel method based on invariant representation. Theory and Methods: Pooled imaging data from multiple sources are subject to variation
Abdi H +8 more
core +3 more sources
IEEE Access, 2021 Variational autoencoders (VAEs) are deep latent space generative models that have been immensely successful in multiple exciting applications in biomedical informatics such as molecular design, protein design, medical image classification and ...
Ruoqi Wei, Ausif Mahmood
doaj +1 more source