找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: New Approaches for Multidimensional Signal Processing; Proceedings of Inter Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu Conference proc

[復制鏈接]
樓主: Impacted
21#
發(fā)表于 2025-3-25 04:15:48 | 只看該作者
22#
發(fā)表于 2025-3-25 08:33:08 | 只看該作者
Object Motion Detection in Video by Fusion of RPCA and NMF DecompositionsMatrix Factorization with the aim of detecting moving objects over stationary background. The schemes use the logical OR and AND operators on a pixel basis over the binary outputs of the base decomposition algorithms. Experimental results from testing with videos, containing natural scenes with huma
23#
發(fā)表于 2025-3-25 13:20:21 | 只看該作者
24#
發(fā)表于 2025-3-25 19:07:15 | 只看該作者
25#
發(fā)表于 2025-3-25 20:03:57 | 只看該作者
SIFT Based Feature Matching Algorithm for Cartoon Plagiarism Detectiont of cartoon images has also become a major obstacle to its development. The theoretical defects of the current law, the concealment of infringement forms, and the low cost of infringement are the main reasons for this dilemma. With the rapid development of Internet information and digital image pro
26#
發(fā)表于 2025-3-26 02:20:05 | 只看該作者
Image Recognition Technology Based Evaluation Index of Ship Navigation Risk in Bridge Areaays. Therefore, the risk of ship accidents in inland waterways is increasing year by year. This paper mainly studies the research and application of the navigation safety risk evaluation index system in bridge area based on image recognition technology. The convolutional neural network based detecti
27#
發(fā)表于 2025-3-26 06:45:48 | 只看該作者
28#
發(fā)表于 2025-3-26 11:29:25 | 只看該作者
Small Object Detection of Remote Sensing Images Based on Residual Branch of Feature Fusioning small object detection methods fuse the multi-scale features of different layers directly when using the feature pyramid network. However, due to the decrease of channels in feature fusion, the top-level feature of pyramid will lose information of the object, which is disadvantageous to detect s
29#
發(fā)表于 2025-3-26 13:04:53 | 只看該作者
Meta-learning with Logistic Regression for Multi-classificationression, and linear support vector machine. This study introduces a nonlinear basic learner-logistic regression to improve meta-learning through fast convergence in learning downstream tasks and obtaining the global optimal solution. The Woodbury identity is utilized to express our advantages in a s
30#
發(fā)表于 2025-3-26 17:45:00 | 只看該作者
 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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 04:07
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 返回頂部 返回列表
百色市| 漠河县| 云林县| 德钦县| 涿鹿县| 石门县| 大庆市| 张家港市| 桂平市| 常德市| 芜湖县| 凯里市| 全南县| 墨江| 天门市| 盘锦市| 剑川县| 曲阜市| 襄垣县| 拉萨市| 榕江县| 齐齐哈尔市| 咸丰县| 囊谦县| 吉安市| 景德镇市| 防城港市| 鞍山市| 钟祥市| 区。| 乌兰察布市| 峡江县| 开化县| 罗江县| 哈巴河县| 昆山市| 贵州省| 高青县| 泸州市| 三江| 台东县|