Results 41 to 50 of about 323,408 (293)
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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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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CoRR, 2019 26 pages, added comparison with standard quantification ...
Albert Ziegler 0001, Pawel Czyz
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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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Unsupervised discriminative hashing [PDF]
Journal of Visual Communication and Image Representation, 2016 An unsupervised discriminative hashing algorithm is proposed.We use an addition term as regularization to learn a model for out-of-sample data extrapolation.The unsupervised discriminative hashing scheme outperforms the state of the art methods. Hashing is one of the popular solutions for approximate nearest neighbor search because of its low storage ...
Kun Zhan +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 Intralingual and Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis Using Two-Pass Decision Tree Construction [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 ...
Matthew Gibson, William Byrne
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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 ...
Michael Bennet +7 more
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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
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Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth
ASM Science Journal, 2021 In the edge where conversation merely involves online chatting and texting one another, an automated conversational agent is needed to support certain repetitive tasks such as providing FAQs, customer service and product recommendations.
Suraya Alias
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