User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues
Transactions of the International Society for Music Information Retrieval, 2020 Integrating information about the listener’s cultural background when building music recommender systems has recently been identified as a means to improve recommendation quality.
Eva Zangerle +2 more
doaj +1 more source
Blind Image Quality Assessment for Super Resolution via Optimal Feature Selection
IEEE Access, 2020 Methods for image Super Resolution (SR) have started to benefit from the development of perceptual quality predictors that are designed for super resolved images.
Juan Beron +2 more
doaj +1 more source
Semantic-aware blocking for entity resolution [PDF]
, 2015 In this paper, we propose a semantic-aware blocking framework for entity resolution (ER). The proposed framework is built using locality-sensitive hashing (LSH) techniques, which efficiently unifies both textual and semantic features into an ER blocking ...
Cui, Mingyuan, Liang, Huizhi, Wang, Qing
core +1 more source
IEEE Access, 2020 Human visual perceptual model is a key factor for evaluating stereoscopic image quality. This paper focuses on the contributions of monocular and binocular properties on quality perception and proposes a novel blind stereoscopic image quality assessment ...
Yun Liu +4 more
doaj +1 more source
The Knee Arthroplasty Trial (KAT) : design features, baseline characteristics and two-year functional outcomes after alternative approaches to knee replacement [PDF]
, 2009 Background: The aim of continued development of total knee replacement systems has been the further improvement of the quality of life and increasing the duration of prosthetic survival.
Campbell, Marion Kay +13 more
core +1 more source
Hospital ownership and quality of care: what explains the different results? [PDF]
, 2006 Does quality of care systematically differ among government-owned, private not-for-profit, and for-profit hospitals? A large empirical literature provides conflicting evidance.
Chan, Jia +3 more
core +1 more source
Enhancing blind video quality assessment with rich quality-aware features
Expert Systems with ApplicationsIn this paper, we present a simple but effective method to enhance blind video quality assessment (BVQA) models for social media videos. Motivated by previous researches that leverage pre-trained features extracted from various computer vision models as the feature representation for BVQA, we further explore rich quality-aware features from pre-trained
Wei Sun +6 more
openaire +3 more sources
No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion
Entropy, 2020 Image quality assessment (IQA) aims to devise computational models to evaluate image quality in a perceptually consistent manner. In this paper, a novel no-reference image quality assessment model based on dual-domain feature fusion is proposed, dubbed ...
Yueli Cui
doaj +1 more source
Quality-Aware Review Selection Based on Product Feature Taxonomy
, 2015 User-generated information such as online reviews has become increasingly significant for customers in decision making processes. Meanwhile, as the volume of online reviews proliferates, there is an insistent demand to help users in tackling the information overload problem.
Tian, N, Xu, Y, Li, Y, Pasi, G
openaire +3 more sources
Joint Attentive Spatial-Temporal Feature Aggregation for Video-Based Person Re-Identification
IEEE Access, 2019 Video-based person re-identification (Re-ID) remains to be a promising but challenging computer vision task, suffering from a lack of discriminative features that better aggregate both the spatial and temporal information.
Lin Chen, Hua Yang, Zhiyong Gao
doaj +1 more source