Results 121 to 130 of about 6,486,492 (310)

Ritualized reflection in human dissection: Liminality, ethical negotiation, and professional identity formation among South Korean medical students

Anatomical Sciences Education, EarlyView.
Abstract Human dissection is a foundational component of medical education, yet it places students in profound ethical tension between scientific objectification and respect for human dignity. While prior studies have documented students' emotional responses, the structural transformation of their moral narratives over time, particularly within non ...
Jun‐Ki Lee, Hyoungtae Kim, Hyo Hyun Yoo   +2 more
wiley   +1 more source

Decentralized Dictionary Learning Over Time-Varying Digraphs [PDF]

, 2019
This paper studies Dictionary Learning problems wherein the learning task is distributed over a multi-agent network, modeled as a time-varying directed graph. This formulation is relevant, for instance, in Big Data scenarios where massive amounts of data
Ying Sun, Brian M. Sadler, Francisco Facchinei, Amir Daneshmand, Gesualdo Scutari   +4 more
core  

Adversarial Dictionary Learning

, 2022
To bridge the gap between specific and universal attacks on deep classification networks, the present work frames the learning of multiple adversarial attacks as linear combinations of atoms from a dictionary of universal attacks.
Canu, Stéphane, Liu, Yuan, Gasso, Gilles, Frecon, Jordan, Anquetil, Lucas   +4 more
core  

Incremental refinement of relevance rankings: Balancing relevance depth and scope

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley   +1 more source

Incoherent dictionary learning and sparse representation for single-image rain removal

Tongxin xuebao, 2017
The incoherent dictionary learning and sparse representation algorithm was present and it was applied to single-image rain removal.The incoherence of the dictionary was introduced to design a new objective function in the dictionary learning,which ...
Hong-zhong TANG, Xiang WANG, Xiao-gang ZHANG, Xiao LI, Li-zhen MAO   +4 more
doaj   +2 more sources

Greedy Deep Dictionary Learning

CoRR, 2016
In this work we propose a new deep learning tool called deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion, one layer at a time. This requires solving a simple (shallow) dictionary learning problem, the solution to this is well known. We apply the proposed technique on some benchmark deep learning datasets. We compare our
Snigdha Tariyal, Angshul Majumdar, Richa Singh 0001, Mayank Vatsa   +3 more
openaire   +3 more sources

Online discriminative dictionary learning via label information for multi task object tracking

, 2014
In this paper, a supervised approach to online learn a structured sparse and discriminative representation for object tracking is presented. Label information from training data is incorporated into the dictionary learning process to construct a compact ...
Fan BJ(范保杰), Du YK(杜英魁), Gao, Hao, Wang, Baoyun   +3 more
core  

Complete Dictionary Learning via l(p)-norm Maximization

, 2020
Dictionary learning is a classic representation learning method that has been widely applied in signal processing and data analytics. In this paper, we investigate a family of l(p)-norm (p > 2, p is an element of N) maximization approaches for the ...
Xue, Ye, Shen, Yifei, Ben Letaief, Khaled, Lau, Kin Nang, Zhang, Jun   +4 more
core  

The role of editorial boards in shaping scholarly communication: A large‐scale mapping of their composition and structure

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Editorial boards play a central role in shaping scholarly communication by influencing what research is published and how disciplinary boundaries are defined. Despite their importance, large‐scale, systematic evidence on their composition and structure remains limited.
Evangelina Becerra‐Rodero, José Luis Ortega   +1 more
wiley   +1 more source

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source