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: Intelligent Information and Database Systems; Third International Ngoc Thanh Nguyen,Chong-Gun Kim,Adam Janiak Conference proceedings 2011

[復制鏈接]
樓主: 掩飾
11#
發(fā)表于 2025-3-23 11:58:26 | 只看該作者
12#
發(fā)表于 2025-3-23 16:13:28 | 只看該作者
13#
發(fā)表于 2025-3-23 21:23:49 | 只看該作者
Image Similarities on the Basis of Visual Content – An Attempt to Bridge the Semantic Gapar images retrieving task. Our faraway goal is to face the difficult problem with all current approaches to CBIR systems, connected with visual similarity: the semantic gap between low-level content and higher-level concepts.
14#
發(fā)表于 2025-3-23 23:18:46 | 只看該作者
15#
發(fā)表于 2025-3-24 05:15:28 | 只看該作者
A Comparative Analysis of Managing XML Data in Relational Databasend defining what the best mapping method is explicitly important. The intention of this paper is to the existing mapping methods in terms of generating good relational schema. At the end a new mapping method is developed to overcome the limitations the limitations and shows that it is efficient in terms of removing relation redundancy.
16#
發(fā)表于 2025-3-24 07:56:11 | 只看該作者
Anonymizing Shortest Paths on Social Network Graphshable shortest paths between the source and destination vertices. Greedy-based modification algorithms and experimental results showing the feasibility and characteristics of the proposed approach are presented.
17#
發(fā)表于 2025-3-24 12:23:18 | 只看該作者
18#
發(fā)表于 2025-3-24 17:31:53 | 只看該作者
Time Series Subsequence Matching Based on a Combination of PIP and Clipping Skyline index. Our experiments show that our IPIP method is better than PAA in terms of tightness of lower bound and pruning power, and in subsequence matching, IPIP with Skyline index can perform faster than PAA based on traditional R*- tree.
19#
發(fā)表于 2025-3-24 20:30:35 | 只看該作者
Cloud Intelligent Services for Calculating Emissions and Costs of Air Pollutants and Greenhouse Gasek. Using this application framework, first we build a global data warehouse called GAINS DWH World, then a class of regional data warehouses, e.g. GAINS DWH Europe, GAINS DWH Asia, etc, are specified and used for regional data analysis and cost optimization.
20#
發(fā)表于 2025-3-25 02:33:11 | 只看該作者
 關于派博傳思  派博傳思旗下網站  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 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 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 ( 京公網安備110108008328) GMT+8, 2026-1-25 03:14
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
北票市| 义马市| 元谋县| 沂水县| 华宁县| 丰都县| 襄汾县| 尉氏县| 乐昌市| 伽师县| 绥宁县| 吴旗县| 娄烦县| 衡阳县| 永康市| 中卫市| 九龙城区| 社旗县| 延安市| 灌南县| 嘉鱼县| 敦煌市| 遵化市| 新绛县| 舒兰市| 吉林市| 大城县| 浏阳市| 清水河县| 桐城市| 新沂市| 舟山市| 铅山县| 祁东县| 阿拉善左旗| 余庆县| 田东县| 聊城市| 兰坪| 织金县| 南康市|