Results 31 to 40 of about 548,873 (352)

Slut shaming, girl power and sexualisation : Thinking through the politics of the international SlutWalks with teen girls [PDF]

open access: yes, 2012
This viewpoint begins by exploring whether the global phenomenon of the 2011 ‘SlutWalks’ constitutes a feminist politics of re-signification. We then look at some qualitative, focus group data with teen girls who participated in a UK SlutWalk. We suggest
Renold, Emma, Ringrose, Jessica
core   +3 more sources

OC-PM: Analyzing Object-Centric Event Logs and Process Models [PDF]

open access: yes, 2022
Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion.
arxiv   +1 more source

A clinical comparative study to assess the efficacy of a new centric registration technique with a conventional technique

open access: yesThe Journal of Indian Prosthodontic Society, 2019
Aim: The aim and objectives of this study were to assess and compare the efficacy of a new copyrighted technique (wax ball technique, L-77997/2018) and design (denture base design for the wax ball technique, L-78006/2018) for recording centric relation ...
R Sushma   +5 more
doaj   +1 more source

Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study [PDF]

open access: yesarXiv, 2023
Most approaches to cross-modal retrieval (CMR) focus either on object-centric datasets, meaning that each document depicts or describes a single object, or on scene-centric datasets, meaning that each image depicts or describes a complex scene that involves multiple objects and relations between them.
arxiv  

Agent-Centric Representations for Multi-Agent Reinforcement Learning [PDF]

open access: yesarXiv, 2021
Object-centric representations have recently enabled significant progress in tackling relational reasoning tasks. By building a strong object-centric inductive bias into neural architectures, recent efforts have improved generalization and data efficiency of machine learning algorithms for these problems.
arxiv  

Actor-Centric Relation Network [PDF]

open access: yes, 2018
Current state-of-the-art approaches for spatio-temporal action localization rely on detections at the frame level and model temporal context with 3D ConvNets. Here, we go one step further and model spatio-temporal relations to capture the interactions between human actors, relevant objects and scene elements essential to differentiate similar human ...
Rahul Sukthankar   +5 more
openaire   +3 more sources

Data-Centric Artificial Intelligence [PDF]

open access: yesarXiv, 2022
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm emphasizing that the systematic design and engineering of data is essential for building effective and efficient AI-based systems. The objective of this article is to introduce practitioners and researchers from the field of Information Systems (IS) to data-centric ...
arxiv  

Does articulating study casts make a difference to treatment planning? [PDF]

open access: yes, 2003
OBJECTIVE: To assess whether articulating casts in centric relation (CR) compared with intercuspal position (ICP) makes a difference to treatment planning. Design: Reliability analysis. Subjects: Ten orthodontists. METHODS: Twenty case vignettes were
Benson, P.E., Ellis, P.E.
core   +1 more source

CENTRIC RELATION BETWEEN CHIMERA AND REALITY- A NARRATIVE REVIEW

open access: yesRomanian Journal of Oral Rehabilitation, 2023
Introduction: The multitude of definitions for the centric relation (CR) has sparked extensive scientific debates, marking significant milestones in the evolution of concepts in these fields. The discourse surrounding CR has remained contentious for over
Alina Mihaela Apostu   +4 more
doaj  

Self-Distillation for Gaussian Process Regression and Classification [PDF]

open access: yesarXiv, 2023
We propose two approaches to extend the notion of knowledge distillation to Gaussian Process Regression (GPR) and Gaussian Process Classification (GPC); data-centric and distribution-centric. The data-centric approach resembles most current distillation techniques for machine learning, and refits a model on deterministic predictions from the teacher ...
arxiv  

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