Results 61 to 70 of about 1,263,196 (279)
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals [PDF]
, 2013 Dictionary Learning has proven to be a powerful tool for many image processing tasks, where atoms are typically defined on small image patches. As a drawback, the dictionary only encodes basic structures.
Bénar, Christian +5 more
core +4 more sources
, 2017 This paper proposes an efficient bitwise solution to the single-channel source separation task. Most dictionary-based source separation algorithms rely on iterative update rules during the run time, which becomes computationally costly especially when we
Guo, Lijiang, Kim, Minje
core +1 more source
A Perspective on Interactive Theorem Provers in Physics
Advanced Science, EarlyView.Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley +1 more source
A thesaurus in focus: A media review of https://www.thesaurus.com/
Technology in Language Teaching & LearningMany applications, software, websites, and online dictionaries have been introduced thanks to the advent of computer- and mobile-assisted technologies.
Ibrahim Halil Topal
doaj +1 more source
A Compressed Sampling and Dictionary Learning Framework for WDM-Based Distributed Fiber Sensing
, 2017 We propose a compressed sampling and dictionary learning framework for fiber-optic sensing using wavelength-tunable lasers. A redundant dictionary is generated from a model for the reflected sensor signal. Imperfect prior knowledge is considered in terms
Weiss, Christian, Zoubir, Abdelhak M.
core +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
Advanced Science, EarlyView.We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
Weakly-supervised Dictionary Learning
, 2018 We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and ...
Fern, Xiaoli Z. +3 more
core +1 more source
Advanced Science, EarlyView.Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen +9 more
wiley +1 more source
Dependent Nonparametric Bayesian Group Dictionary Learning for online reconstruction of Dynamic MR images [PDF]
, 2015 In this paper, we introduce a dictionary learning based approach applied to the problem of real-time reconstruction of MR image sequences that are highly undersampled in k-space.
Kassim, Ashraf A. +2 more
core
MASSIVE-CONFORMAL DICTIONARY [PDF]
International Journal of Modern Physics A, 1994 The finite-volume spectrum of an integrable massive perturbation of a rational conformal field theory interpolates between massive multiparticle states in infinite-volume (IR limit) and conformal states, which are approached at zero volume (UV limit). Each state is labeled in the IR by a set of “Bethe-ansatz quantum numbers,” while in the UV limit it ...
openaire +2 more sources