Efficientize dictionary
[PDF File] Home - Springer
https://link.springer.com/content/pdf/10.1007/s11263-015-0799-8.pdf
Int J Comput Vis (2015) 114:168–194 DOI 10.1007/s11263-015-0799-8 Efficient Dictionary Learning with Sparseness-Enforcing Projections Markus Thom · Matthias Rapp · Günther P
[PDF File] An Efficient Dictionary Learning-Based 2-D DOA
https://www.researchgate.net/publication/323137445_An_Efficient_Dictionary_Learning-Based_2-D_DOA_Estimation_Without_Pair_Matching_for_Co-prime_Parallel_Arrays/fulltext/5a823ca5aca272d65019b1ae/An-Efficient-Dictionary-Learning-Based-2-D-DOA-Estimation-Without-Pair-Matching-for-Co-prime-Parallel-Arrays.pdf
An Efficient Dictionary Learning-Based 2-D DOA Estimation Without Pair Matching for Co-prime Parallel Arrays Fenggang Sun, Peng Lan, Bin Gao, and Guowei Zhang
[PDF File] E cient Dynamic Dictionary Matching with DAWGs and AC …
https://arxiv.org/pdf/1710.03395.pdf
dictionary D, nis the length of the text, ˙is the alphabet size, and occ is the total number of occurrences of all the patterns in the text. The dynamic dictionary matching is a variant where patterns may dynamically be inserted into and deleted from the dictionary D. This problem is called semi-dynamic dictionary matching
[PDF File] The Ideology of the Perfect Dictionary: How Efficient Can a …
https://pdfs.semanticscholar.org/23de/3c28db82f1f880f95eb1e383b8d8146e0f93.pdf
1. The social and stylistic continuum: the example of French monolin-gual dictionaries. The attitude of the speaker towards language is very complex and relies on 'fic-tive, prescriptive and evaluative norms' (Houdebine 1982: 50), based on extra-linguistic factors which could be political, social, psychological or ideological.
[PDF File] Efficient Approximate Online Convolutional Dictionary Learning
https://research.aalto.fi/files/133568404/Efficient_Approximate_Online_Convolutional_Dictionary_Learning.pdf
Dictionary learning has been utilized in diverse computational imaging tasks such as image reconstruction [10], [11], image super-resolution [5], and image fusion [12]. Manuscript received 12 May 2023; revised 29 September 2023; accepted 24 November 2023. Date of publication 7 December 2023; date of current version
Manifolds-Based Low-Rank Dictionary Pair Learning for …
https://mdpi-res.com/d_attachment/applsci/applsci-13-06383/article_deploy/applsci-13-06383-v2.pdf?version=1684906397
2.2. Dictionary Learning Dictionary learning has been widely studies and applied for many artificial intelligence tasks, such as image classification, image compression, image denoising, etc. To date, many dictionary learning methods have been developed, which can be categorized into unsupervised and discriminative dictionary …
[PDF File] Efficient Dictionary Design for MR Fingerprinting using Tree …
https://cds.ismrm.org/protected/15MProceedings/PDFfiles/2499.pdf
Uniform Grid TSVQ Fig. 1 Efficient Dictionary Design for MR Fingerprinting using Tree-Structured Vector Quantization Zhitao Li1, Benjamin Paul Berman2, Diego R Martin3, Maria I Altbach3, and Ali Bilgin1,4 1Electrical and Computer Engineering, University of Arizona, Tucson, Arizona, United States, 2Applied Mathematics, University of Arizona, Tucson, …
Efficient dictionary construction method for microwave …
https://www.researchgate.net/profile/Shuangli-Liu/publication/326756960_Efficient_dictionary_construction_method_for_microwave_induced_thermoacoustic_compressive_sensing_imaging/links/5b8607e44585151fd1393bac/Efficient-dictionary-construction-method-for-microwave-induced-thermoacoustic-compressive-sensing-imaging.pdf?origin=publication_detail
thermoacoustic dictionary in current CS-based methods may not be feasible for the real-world application due to the long construction time and large memory consumption. To address the
[PDF File] An Approach to Efficient Dictionary Utilization and Improved …
https://www.ijeat.org/wp-content/uploads/papers/v10i2/B20971210220.pdf
AUTHORS PROFILE. S. Revathi is currently an Associate Professor with the School of Electronic Engineering, VIT at Chennai, Chennai. She has over 20 years of teaching and research experience. Her expertise is in CMOS, microelectronic manufacture, MEMS, microsystems, Embedded systems and IoT.
[PDF File] Efficient fault-tolerant quantum dialogue protocols based on …
https://link.springer.com/content/pdf/10.1007/s11128-023-04210-y.pdf
Keywords Quantum dialogue ·Dictionary encoding ·Collective noise ·Logical EPR pair 1 Introduction Communication is an essential requirement for individuals to form groups, and these groups are not the same and often involve excluding others. This exclusivity has pro-moted the development of cryptography in communication, as evidenced by letters,
[PDF File] Efficient Approximate Online Convolutional Dictionary Learning
https://www.researchgate.net/publication/376348426_Efficient_Approximate_Online_Convolutional_Dictionary_Learning/fulltext/65731b266610947889ab2a76/Efficient-Approximate-Online-Convolutional-Dictionary-Learning.pdf
Dictionary learning has been utilized in diverse computational imaging tasks such as image reconstruction [10], [11], image super-resolution [5], and image fusion [12].
ANALYSIS DICTIONARY LEARNING: AN EFFICIENT AND …
https://arxiv.org/pdf/1903.03058
dictionary. To pursue such a sparse representation for a par-ticular signal dataset, one well known approach is the Synthe-sis Dictionary Learning (SDL) [3, 4], which recovers the sig-nal by learning a dictionary with corresponding coefficients. SDL can capture complex local structures of images and yield
[PDF File] Efficient No-dictionary Verifiable SSE
https://eprint.iacr.org/2016/981.pdf
acy) to a no-dictionary verifiable SSE. Namely, in our vSSE scheme, the server can return a proof of the search result even if the search word is not in. ed in the store phase.4.1 ConstructionLet (Gen0, Enc0, rpdr0, Search0, Dec0) be an SSE scheme. We construct a no-dictionary verifiable SSE (Gen1, Enc1, Trp.
[PDF File] Efficient Dictionary Learning with Sparseness-Enforcing …
https://arxiv.org/pdf/1604.04767.pdf
This paper studies dictionary learning under explicit sparse-ness constraints with respect to Hoyer’s sparseness measure s. A major part of this work is devoted to the efficient al-gorithmic computation of the sparseness-enforcing projec-tion operator, which is an integral part in efficient dictionary learning.
[PDF File] Efficient Shift-Invariant Dictionary Learning - Special Interest …
https://www.kdd.org/kdd2016/papers/files/rpp0311-zhengA.pdf
Shift-invariant dictionary learning (SIDL) refers to the prob-lem of discovering a set of latent basis vectors (the dictio-nary) that captures informative local patterns at di erent locations of the input sequences, and a sparse coding for each sequence as a linear combination of the latent basis el-ements.
An Efficient Approximate Method for Online Convolutional …
https://arxiv.org/pdf/2301.10583
dictionary filters, N is the number of training signals (the batch size), and P is the dimension of the training signals, for example, the number of pixels in an image (usually P ˛K and P ˛N). The memory requirement of CDL can be reduced using an online-learning approach, where the dictionary is optimized incrementally after observing each
[PDF File] EFFICIENT MARKETS HYPOTHESIS Andrew W. Lo - MIT
https://web.mit.edu/Alo/www/Papers/EMH_Final.pdf
To appear in L. Blume and S. Durlauf, The New Palgrave: A Dictionary of Economics, Second Edition, 2007. New York: Palgrave McMillan. The efficient markets hypothesis (EMH) maintains that market prices fully reflect all available information. Developed independently by Paul A. Samuelson and Eugene F. Fama in the 1960s, this idea has …
[PDF File] A New Efficient Dictionary and its Implementation on Retinal …
https://www.researchgate.net/profile/Vasudevan-Lakshminarayanan/publication/274313513_A_new_efficient_dictionary_and_its_implementation_on_retinal_images/links/5536973b0cf268fd0018716d/A-new-efficient-dictionary-and-its-implementation-on-retinal-images.pdf
Total number of nonzero coefficients (sparsity constant) was fixed to 1, 5, 9, 13, 17, 21, 25 and 29 for eight different cases. Finally, the image was reconstructed from the sparse coefficients x ...
Highly efficient dictionary matching in parallel - ACM Digital …
https://dl.acm.org/doi/pdf/10.1145/165231.165239
Phase 1. For each text location r, determine 6,(7), the prefix-name of the longest prefix in the dictionary that matches at r and 16t(r) 1,its length. Phase 2. Given &(r) and [c$~(r)I for each text location T, determine IT (T), the index of a pattern in D that has this prefix. This is called the retrieve-index problem.
Efficient Dictionary Learning via Very Sparse Random …
https://arxiv.org/pdf/1504.01169
dictionary learning and give theoretical guarantees for its perfor-mance for a very general class of random projections. We then propose a memory and computation efficient dictionary learning algorithm, specifically designed for analyzing large volumes of high-dimensional data, which learns the dictionary from very sparse random projections.
An efficient dictionary refinement algorithm for multiple target ...
https://journals.sagepub.com/doi/pdf/10.1177/1550147717723805
dictionary atoms violates the restricted isometry prop-erty (RIP) condition of CS.19 In fact, the performance of CS may degrade considerably in the presence of dic-tionary mismatch, even when the physical space is fine-grained discretized. In this article, we study the dictionary mismatch problem and develop an efficient dictionary …
Efficient gradient‐based dictionary optimisation method for …
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rsn.2018.5561
coherence of a dictionary D. This means that a well-designed dictionary with a low mutual coherence is an essential guarantee for exact sparse recovery. Many algorithms have been proposed to optimise the sensing matrix Φ to enhance recovery performance. In [18], Engan et al. proposed the method of optimal direction, in
[PDF File] Efficient Online Dictionary Adaptation and Image …
https://web.eecs.umich.edu/~fessler/papers/files/proc/17/web/ravishankar-17-eod.pdf
dictionary (the previous estimate, D^ t 1), sparse codes, and for frames that were estimated in neighboring windows. The algorithm alternates a few times between updating (D t;Z t) (the dictionary learning step ) and x t (the image update step ). We describe these updates in the following. Minimizing (P1) with respect to (D t;Z t), we set C t ...
Generalized Rank Minimization based Group Sparse
https://arxiv.org/pdf/1907.04699v2
dictionary learning strategy is introduced for each group. It should be noted that the self-adaptive dictionary scheme is crucial, we can convert the GSC problem into the low-rank matrix recovery problem via our proposed adaptive dictionary learning scheme. 2.1. …
Exact Sparse Orthogonal Dictionary Learning
https://arxiv.org/pdf/2103.09085v1
onal dictionary learning Bao et al. [2013], which learns a strictly orthogonal dictionary, has attracted much attention. Also, there are some other works trying to incorporate the orthogonal constraint as a penalty into the objective Bao et al. [2014b], which have yielded promising results. However, there are some concerns in
Nearby & related entries:
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.