Results 51 to 60 of about 3,156,718 (320)
Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring
Sensors, 2019 Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications.
Bin Zhou +6 more
doaj +1 more source
The Electronic Journal of Combinatorics, 2019 Hladký, Hu, and Piguet [Tilings in graphons, preprint] introduced the notions of matching and fractional vertex covers in graphons. These are counterparts to the corresponding notions in finite graphs. Combinatorial optimization studies the structure of the matching polytope and the fractional vertex cover polytope of a graph.
Doležal, M. (Martin), Hladký, J. (Jan)
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Making Peace with Metrics: Relational Work in Online News Production
Sociologica, 2020 How do workers make peace with performance metrics that threaten their professional values? Drawing on Viviana Zelizer’s concepts of relational work and “good matches,” we focus on the case of online news production and analyze efforts to align audience ...
Angèle Christin, Caitlin Petre
doaj +1 more source
The Review of Economic Studies, 2021 Abstract We develop a model where risk-averse workers can costly invest in their skills before matching with heterogenous firms. At the investment stage, workers face multiple sources of risk. They are uncertain about how skilled they will turn out and also about their income shock realizations at the time of employment.
Chade, Hector, Lindenlaub, Ilse
openaire +1 more source
A Deep Relevance Matching Model for Ad-hoc Retrieval
, 2017 In recent years, deep neural networks have led to exciting breakthroughs in speech recognition, computer vision, and natural language processing (NLP) tasks. However, there have been few positive results of deep models on ad-hoc retrieval tasks.
Giles R. C. S. L. L. +6 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Conditional Deployable Biometrics: Matching Periocular and Face in Various Settings
Journal of Informatics and Web EngineeringIn this paper, we introduce the concept of Conditional Deployable Biometrics (CDB), designed to deliver consistent performance across various biometric matching scenarios, including intra-modal, multimodal, and cross-modal applications. The CDB framework
Jihyeon Kim +2 more
doaj +1 more source
Velocity dominated singularities in the cheese slice universe
, 2008 We investigate the properties of spacetimes resulting from matching together exact solutions using the Darmois matching conditions. In particular we focus on the asymptotically velocity term dominated property (AVTD).
CHARLES C. DYER +4 more
core +1 more source