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Slice-Based Online Convolutional Dictionary Learning

IEEE Transactions on Cybernetics, 2021
Convolutional dictionary learning (CDL) aims to learn a structured and shift-invariant dictionary to decompose signals into sparse representations. While yielding superior results compared to traditional sparse coding methods on various signal and image processing tasks, most CDL methods have difficulties handling large data, because they have to ...
Yijie Zeng, Jichao Chen, Guang-Bin Huang
openaire   +3 more sources

An online algorithm for distributed dictionary learning

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
This paper proposes a novel algorithm for online distributed dictionary learning, where a set of nodes is requested to collectively estimate a common dictionary via sequentially received data vectors. At each time instance, in which a new datum becomes available, the sparse representation of the data with respect to the estimated dictionary is computed
Symeon Chouvardas   +2 more
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Automated dictionary discovery for the online marketplace

Proceedings of the 2012 iConference, 2012
Shopping online has become a prolific activity as the number of online vendors and consumers continue to rise each year. In 2009, almost $15 billion in goods and services were ordered online by Canadians [1]. About 53% of these consumers 'window shop' by doing product research before actually making a purchase.
Fei Chiang, Renée J. Miller
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Online kernel dictionary learning on a budget

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016
Online kernel-based dictionary learning (DL) algorithms are considered, which perform DL on training data lifted to a high-dimensional feature space via a nonlinear mapping. Compared to batch versions, online algorithms require low computational complexity, essential for processing the Big Data, based on the stochastic gradient descent method. However,
Jeon Lee, Seung-Jun Kim
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Dynamic Dictionary Matching in the Online Model

2019
In the classic dictionary matching problem, the input is a dictionary of patterns \(\mathcal {D}=\{P_1,P_2,\ldots ,P_k\}\) and a text T, and the goal is to report all the occurrences in T of every pattern from \(\mathcal {D}\). In the dynamic version of the dictionary matching problem, patterns may be either added or removed from \(\mathcal {D}\).
Shay Golan 0001   +3 more
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Using Online Dictionaries

2014
Until now, there has been little research into the use of online dictionaries despite expanding markets: both academic and commercial lexicography increasingly focus on online products while sales figures for printed dictionaries decline. This created a demand for reliable empirical information on how online dictionaries are actually used and how they ...
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Teaching Dictionary Skills through Online Bilingual Dictionaries

2022
This module, aimed at helping both English as a Foreign Language (EFL) teachers and their students, is the result of a qualitative, applied, transversal and constructivist research conducted with Open Lingua teachers. One of the objectives of said research was to establish the factors that favored and hindered the curriculum integration of open access ...
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Online dictionaries of English

2010
In this paper I present an overview of the spectrum of available online English language dictionaries, and then offer some general comments on a few selected key issues. Given the current explosion of web content, it is quite pointless to try to list every single dictionary available.
openaire   +2 more sources

Online emotional facial expression dictionary

Proceedings of the 15th International Conference on Computer Systems and Technologies, 2014
Facial expressions play an important role in human communication. But there is a lot of disagreement about the semantic interpretation. In this paper we present an online facial expression dictionary. Users can upload a facial expression which will be interpreted automatically.
openaire   +1 more source

Online Dictionary Matching with Variable-Length Gaps

2011
The string-matching problem with wildcards is considered in the context of online matching of multiple patterns. Our patterns are strings of characters in the input alphabet and of variable-length gaps, where the width of a gap may vary between two integer bounds or from an integer lower bound to infinity.
Tuukka Haapasalo   +3 more
openaire   +1 more source

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