Results 31 to 40 of about 356,686 (298)
Applied Sciences, 2021 In the digital marketplaces, businesses can micro-monitor sales worldwide and in real-time. Due to the vast amounts of data, there is a pressing need for tools that automatically highlight changing trends and anomalous (outlier) behavior that is ...
Jonas Herskind Sejr +5 more
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Unsupervised image ranking [PDF]
Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009 In the paper, we propose and test an unsupervised approach for image ranking. Prior solutions are based on image content and the similarity graph connecting images. We generalize this idea by directly estimating the likelihood of each photo in a feature space.
Eva Hörster +3 more
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Two-pass decision tree construction for unsupervised adaptation of HMM-based synthesis models [PDF]
, 2010 Hidden Markov model (HMM) -based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not present in the training dataset ...
core +8 more sources
Journal of Intelligent Systems, 2018 Data mining techniques support numerous applications of intelligent transportation systems (ITSs). This paper critically reviews various data mining techniques for achieving trip planning in ITSs.
Anand Sesham +3 more
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Snake based Unsupervised Texture Segmentation using Gaussian Markov Random Field Models [PDF]
, 2011 A functional for unsupervised texture segmentation is investigated in this paper. An auto-normal model based on Markov Random Fields is employed to model textures. The functional investigated here is optimized with respect to the model parameters and the
Mahmoodi, Sasan +3 more
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Unsupervised Correlation Analysis [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Linking between two data sources is a basic building block in numerous computer vision problems. In this paper, we set to answer a fundamental cognitive question: are prior correspondences necessary for linking between different domains? One of the most popular methods for linking between domains is Canonical Correlation Analysis (CCA). All current CCA
Yedid Hoshen, Lior Wolf
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Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters [PDF]
, 2012 In this paper, local distributions of low order Gaussian Markov Random Field (GMRF) model parameters are proposed as texture features for unsupervised texture segmentation.Instead of using model parameters as texture features, we exploit the variations ...
Mahmoodi, Sasan +3 more
core +2 more sources
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 Traditional supervised denoisers are trained using pairs of noisy input and clean target images. They learn to predict a central tendency of the posterior distribution over possible clean images. When, e.g., trained with the popular quadratic loss function, the network's output will correspond to the minimum mean square error (MMSE) estimate ...
Benjamin Salmon, Alexander Krull
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Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction [PDF]
, 2010 This paper demonstrates how unsupervised cross-lingual adaptation of HMM-based speech synthesis models may be performed without explicit knowledge of the adaptation data language.
Teemu Hirsimaki +5 more
core +2 more sources
Pansharpening via Unsupervised Convolutional Neural Networks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Pansharpening is normally utilized to take full advantage of all the available spectral and spatial information that are derived from a low-spatial-resolution multispectral (MS) image and its associated high-spatial-resolution (HR) panchromatic (PAN ...
Shuyue Luo +3 more
doaj +1 more source