找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Research and Development in Intelligent Systems XXVIII; Incorporating Applic Max Bramer,Miltos Petridis,Lars Nolle Conference proceedings 2

[復(fù)制鏈接]
樓主: 螺絲刀
21#
發(fā)表于 2025-3-25 04:05:57 | 只看該作者
22#
發(fā)表于 2025-3-25 09:07:30 | 只看該作者
A Multimodal Biometric Fusion Approach based on Binary Particle Optimizatione-processed images of iris and the dynamics of signatures. We propose different fusion schemes at feature level, which we compare on a database of 108 virtual people. Moreover, in order to reduce the complexity of the fusion scheme, we implement a binary particle swarm optimization (BPSO) procedure
23#
發(fā)表于 2025-3-25 15:19:34 | 只看該作者
Using Negation and Phrases in Inducing Rules for Text ClassificationL process has been shown to improve effectiveness of classification. However, although in the case of small datasets it is perfectly feasible to include the potential negation of all possible features as part of the feature space, this is not possible for datasets that include large numbers of featu
24#
發(fā)表于 2025-3-25 15:54:00 | 只看該作者
Choosing a Case Base Maintenance Algorithm using a Meta-Case Base on a particular case base at a particular stage in a CBR system’s lifetime will vary. In this paper, we propose a meta-case-based classifier for selecting the best maintenance algorithm. The classifier takes in a description of a case base that is to undergo maintenance, and uses meta-cases—descrip
25#
發(fā)表于 2025-3-26 00:01:50 | 只看該作者
26#
發(fā)表于 2025-3-26 01:32:27 | 只看該作者
27#
發(fā)表于 2025-3-26 07:42:16 | 只看該作者
28#
發(fā)表于 2025-3-26 10:22:19 | 只看該作者
A Multimodal Biometric Fusion Approach based on Binary Particle Optimizationmodal biometric system over unimodal biometric system. We also examine how the accuracy will be improved as several biometric data are integrated in an identification system. Results show a significant improvement in performance when classification performed at feature fusion level.
29#
發(fā)表于 2025-3-26 14:44:44 | 只看該作者
2D Mass-spring-like Model for Prediction of a Sponge’s Behaviour upon Robotic Interactionsures that drive an evolutionary process that searches the parameter space of the model. The resulting calibrated model can make good predictions for 200 frames (6.667 seconds of real time video) even when tested with forces being applied in different positions to those trained.
30#
發(fā)表于 2025-3-26 20:06:16 | 只看該作者
tries, such as Croatia, Indonesia, Turkey, UK, as well as the Nordic region, and they critically examine gender and education at all levels and in diverse sectors, and with varied lenses, such as neoliberalism 978-3-030-80904-1978-3-030-80902-7Series ISSN 2662-6691 Series E-ISSN 2662-6705
 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(ài)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 03:23
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
新兴县| 即墨市| 奇台县| 岳阳县| 海盐县| 汨罗市| 宜君县| 涿鹿县| 开封市| 贵溪市| 安乡县| 德州市| 方正县| 鄂尔多斯市| 伊通| 巩留县| 雷山县| 福州市| 鄂托克前旗| 青冈县| 左贡县| 茂名市| 凤阳县| 石屏县| 界首市| 阳朔县| 沙田区| 马山县| 望谟县| 霍州市| 临沂市| 彝良县| 沈阳市| 新丰县| 定安县| 桑植县| 昌乐县| 平和县| 固镇县| 淄博市| 凌海市|