Results 21 to 30 of about 261,614 (261)

Content-Based Medical Image Retrieval Based on Image Feature Projection in Relevance Feedback Level [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2014
The purpose of this study is to design a content-based medical image retrieval system and provide a new method to reduce semantic gap between visual features and semantic concepts.
Mohammad Behnam, Hossein Pourghasem
doaj   +2 more sources

Query Expansion Based on Top-Ranked Images for Content-Based Medical Image Retrieval

IEEE Access, 2020
Recently the collection of varied digital image databases has increased. Many users have found that searching and retrieving required images from large collections are very difficult tasks, and successful and effective retrieval methods were developed to
Ali Ahmed, Sharaf J. Malebary
doaj   +1 more source

A Hybrid Text Generation-Based Query Expansion Method for Open-Domain Question Answering

Future Internet, 2023
In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers.
Wenhao Zhu, Xiaoyu Zhang, Qiuhong Zhai, Chenyun Liu   +3 more
doaj   +1 more source

QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback

IEEE Access, 2021
Pseudo relevance feedback (PRF) automatically performs query expansion based on top-retrieved documents to better represent the user’s information need so as to improve the search results.
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu   +8 more
doaj   +1 more source

Relevance feedback models for recommendation [PDF]

Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06, 2006
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the analogy between IR and CF, especially between CF and relevance feedback (RF). Both CF and RF exploit users' preference/relevance judgments to recommend items. We first introduce a
Masao Utiyama, Mikio Yamamoto
openaire   +2 more sources

An Improved Relevance Feedback in CBIR

CoRR, 2020
Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself. Prior works use feature re-weighting and classification techniques as the Relevance Feedback methods. This paper shows a novel addition to the prior methods to further improve the retrieval accuracy.
Subhadip Maji, Smarajit Bose
openaire   +2 more sources

Audio Retrieval Based on Manifold Ranking and Relevance Feedback

Tsinghua Science and Technology, 2015
An audio information retrieval model based on Manifold Ranking (MR) is proposed, and ranking results are improved using a Relevance Feedback (RF) algorithm. Timbre components are employed as the model's main feature.
Jing Qin, Xinyue Liu, Hongfei Lin
doaj   +1 more source

The planar cell polarity protein Vangl2 interacts with the PDZ‐domains of Scribble but not with a unique PDZ‐like domain in Inturned

FEBS Letters, EarlyView.
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes, Jan Brysch, Carmen Gelze, Lilli Meier, Daniel Kümmel   +4 more
wiley   +1 more source

A Study of Word Bigrams for Pseudo-relevance Feedback in Information Retrieval [PDF]

Journal of Universal Computer Science
Traditional information retrieval models mostly adopt a term independence assumption and are based on single terms or unigrams. Past efforts have attempted to go beyond this assumption, such as by using contiguous terms (i.e.
Edward Kai Fung Dang, Robert Wing Pong Luk, Qing Li   +2 more
doaj   +3 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source