Results 211 to 220 of about 7,450 (264)

Imagination Will Not Be Automized: On AI Image Generators and Epistemic Oppression

Constellations, EarlyView.
Sarah Abel
wiley   +1 more source

An ensemble-based sentiment analysis approach for precision medicine recommendation. [PDF]

Sci Rep
Mishra A, Bisoy SK, Kollie DS, Priyadarshi R, Ranjan R.   +4 more
europepmc   +1 more source

Enhancing acute stroke care in Ireland: A scoping review and Delphi consensus for the Irish National Audit of Stroke (INAS) dataset. [PDF]

BMJ Open
Moran CN, Jeffares I, McCormack J, Merriman NA, Bruen C, Jonsson A, Murphy P, Rabbi KA, Harbison J, Williams D, Kelly P, Collins R, Sexton E, Horgan F, Ní Bheacáin M, Byrne E, Thornton J, Tully C, Hickey A.   +18 more
europepmc   +1 more source

Language measures correlate with other measures used to study emotion. [PDF]

Commun Psychol
Munin S, Ong DC, Okland S, Freedman G, Beer JS.   +4 more
europepmc   +1 more source

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Online Dictionary Learning with Confidence

2018 IEEE International Conference on Data Mining (ICDM), 2018
Online dictionary learning has received intensive attention in signal processing field with streaming or dynamic data. Different from classical online dictionary learning methods that treat all atoms equally, in this paper, we present a novel online dictionary learning with a confidence parameter introduced on each of atoms.
Shan You, Chang Xu 0002, Chao Xu 0006
openaire   +1 more source

Linking online dictionaries to Wikipedia

The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2015
In a dictionary, a word can have different senses, and each sense is described by a gloss. However, a gloss is short and may not be satisfactorily informative to users. Meanwhile, mostly each word sense has a corresponding article in Wikipedia that contains rich information about the concept expressed by the word sense.
Vinh Q. Tran 0001, Tru H. Cao
openaire   +1 more source

Online dictionaries for image prediction

2011 18th IEEE International Conference on Image Processing, 2011
This paper presents a novel dictionary learning method which, because of its simplicity and the limited number of training samples it requires, can be used for online learning of dictionaries for spatial texture prediction. The proposed learning method has first been described to address the problem of intra image prediction based on signal expansion ...
Mehmet Türkân, Christine Guillemot
exaly   +3 more sources

Online kernel dictionary learning

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015
Efficient online algorithms are developed to perform dictionary learning (DL) for the features lifted to a high-dimensional space via nonlinear mapping. Inspired by recent works on batch kernelized DL with promising performance for real-world learning tasks, two kernel DL formulations are put forth, amenable to online processing.
openaire   +1 more source

Online deep transferable dictionary learning

Pattern Recognition, 2021
Abstract In real-world applications, large-scale unlabeled data usually becomes available gradually over time. Online learning is important to update models while preserving their historical knowledge. However, a time-varying distribution shift exists in incoming sequential data in online learning, resulting in a data cluster discrepancy between the ...
Sheng Wu, Ancong Wu, Wei-Shi Zheng 0001
openaire   +1 more source