找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Web and Big Data; 8th International Jo Wenjie Zhang,Anthony Tung,Hongjie Guo Conference proceedings 2024 The Editor(s) (if applicable) and

[復(fù)制鏈接]
樓主: amateur
41#
發(fā)表于 2025-3-28 17:37:53 | 只看該作者
42#
發(fā)表于 2025-3-28 21:29:40 | 只看該作者
Improving Zero-Shot Information Retrieval with?Mutual Validation of?Generative and?Pseudo-Relevance zing various prompting strategies. The mutual validation process incorporates a comprehensive scoring mechanism?that considers both consistency and relevance dimensions, facilitating alignment between GRF and PRF while retaining query-relevant information. Lastly, our fine-grained dual-filtering app
43#
發(fā)表于 2025-3-29 01:30:21 | 只看該作者
44#
發(fā)表于 2025-3-29 06:23:44 | 只看該作者
Entity Semantic Feature Fusion Network for?Remote Sensing Image-Text Retrievalntic in the text into our textual feature extractor, so that it can have a good entity perception of remote sensing text. We designed a Text Phrase Enhancement module (TPE) to further extract and enhance entity semantic and alignment visual information in text. In addition, ESFN’s experimental resul
45#
發(fā)表于 2025-3-29 07:21:06 | 只看該作者
46#
發(fā)表于 2025-3-29 13:15:15 | 只看該作者
Semantic Preservation and?Hash Fusion Network for?Unsupervised Cross-Modal Retrievalonstruct a joint similarity matrix to generate high-quality unified binary hash codes?by leveraging the interaction among continuous codes from different modalities. Experimental results on multiple datasets show that?our method significantly outperforms existing state-of-the-art approaches in cross
47#
發(fā)表于 2025-3-29 18:07:13 | 只看該作者
48#
發(fā)表于 2025-3-29 20:38:13 | 只看該作者
ECHO: Adaptive Correction for?Subgraph-Wise Sampling with Lightweight Hyperparameter Searche,?ECHO adaptively incorporates neighbor sampling epochs into the training process as correction according to the training loss.?Our theoretical analysis and extensive experiments demonstrate that?ECHO achieves fast convergence with high accuracy. Specifically,?ECHO achieves up to 3.5. training time
49#
發(fā)表于 2025-3-30 03:27:03 | 只看該作者
50#
發(fā)表于 2025-3-30 06:16:37 | 只看該作者
A Parallel and Distributed Data Management Approach for MEC Using the Improved Parameterized Deep Q-s data management and analysis across multiple edge servers and it addresses the dual challenges of parallel?and distributed data management by ensuring data consistency?and availability across distributed nodes, while optimizing computational resources to reduce latency and energy consumption. Expe
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 00:04
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
吐鲁番市| 建阳市| 罗甸县| 韩城市| 唐河县| 深泽县| 乌鲁木齐市| 汽车| 定陶县| 兴安县| 大足县| 东阿县| 东山县| 赣榆县| 清河县| 莎车县| 清苑县| 收藏| 通渭县| 来宾市| 咸宁市| 富锦市| 邻水| 鄄城县| 高碑店市| 百色市| 侯马市| 东乡族自治县| 志丹县| 长沙县| 绿春县| 苍南县| 射洪县| 漠河县| 辰溪县| 彭山县| 荥经县| 陕西省| 九台市| 枝江市| 孟津县|