Results 141 to 150 of about 2,362,464 (195)

Multimodal Continual Learning Using Online Dictionary Updating

IEEE Transactions on Cognitive and Developmental Systems, 2020
This article studies the continual learning task from the perspective of multimodal fusion. In the multimodal fusion problem, the unified representations of heterogeneous modalities are continuously updated, while the classifier is also constantly ...
F. Sun, Huaping Liu, Chao Yang, Bin Fang
semanticscholar   +1 more source

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
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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
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Online Dictionary Learning Techniques for Sea Clutter Suppression

International Radar Conference, 2020
Maritime airborne surveillance radars operating at high grazing angles experience significant sea clutter returns with a time and range-varying Doppler spectra, thus making the detection of small targets extremely difficult. Many target detection schemes
F. Giovanneschi, L. Rosenberg, D. Cristallini   +2 more
semanticscholar   +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 Türkan, Christine Guillemot
openaire   +2 more sources

A semi-blind online dictionary learning approach for fMRI data.

Journal of Neuroscience Methods, 2019
BACKGROUND Online dictionary learning (ODL) has been applied to extract brain networks from functional magnetic resonance imaging (fMRI) data in recent year.
Zhi-ying Long, Lu Liu, Zhe Gao, Maoming Chen, L. Yao   +4 more
semanticscholar   +1 more source

Probabilistic Optimal Energy Flow of District Multienergy Systems: An MPLP-Based Online Dictionary-Learning Approach

IEEE Transactions on Industrial Informatics, 2019
The integration of multienergy systems (MES) provides an important opportunity to increase the technical, economic, and environmental performance of the overall system compared with separately operated energy systems.
Ning Zhang, Jiangnan Cheng, Yi Wang
semanticscholar   +1 more source

Lossy Compressive Sensing Based on Online Dictionary Learning

Computing and informatics, 2019
In this paper, a lossy compression of hyperspectral images is realized by using a novel online dictionary learning method in which three dimensional datasets can be compressed.
Irem Ülkü, Ersin Kızgut
semanticscholar   +1 more source

Problems in Online Dictionary Use for Advanced Slovenian Learners of English

International Journal of Lexicography, 2019
This article reports on findings from interviews with students from the University of Ljubljana. The study is based on fourteen questions about participants’ habits of dictionary use, their look-up abilities, and their perceptions of the utility and ...
Donna M. Farina, Marjeta Vrbinc, Alenka Vrbinc   +2 more
semanticscholar   +1 more source

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