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: Gesture Recognition; Sergio Escalera,Isabelle Guyon,Vassilis Athitsos Book 2017 Springer International Publishing AG 2017 Artificial intel

[復(fù)制鏈接]
樓主: 搖尾乞憐
41#
發(fā)表于 2025-3-28 16:37:02 | 只看該作者
42#
發(fā)表于 2025-3-28 21:04:37 | 只看該作者
43#
發(fā)表于 2025-3-28 23:02:21 | 只看該作者
Qing Zhu,Xiaoxia Yang,Haifeng Listing to apply discriminative feature selection at the same time as encoding temporal information. This approach is more robust to noise and performs well in signer independent tests, improving results from the 54% achieved by the Markov Chains to 76%.
44#
發(fā)表于 2025-3-29 07:06:28 | 只看該作者
45#
發(fā)表于 2025-3-29 09:44:08 | 只看該作者
2520-131X methods for gesture recognition.Presents an open-source C++.This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision
46#
發(fā)表于 2025-3-29 13:05:03 | 只看該作者
GEO SAR System Analysis and Design,exibility and customization for advanced users. The toolkit features a broad range of classification and regression algorithms and has extensive support for building real-time systems. This includes algorithms for signal processing, feature extraction and automatic gesture spotting.
47#
發(fā)表于 2025-3-29 17:46:50 | 只看該作者
P. Krishna Krishnamurthy,L. Krishnamurthyilable several datasets we recorded for that purpose, including tens of thousands of videos, which are available to conduct further research. We also overview recent state of the art works on gesture recognition based on a proposed taxonomy for gesture recognition, discussing challenges and future lines of research.
48#
發(fā)表于 2025-3-29 22:13:51 | 只看該作者
Cumulative Distribution Estimators,together with variants of a Dynamic Time Warping technique. Both methods outperform other published methods and help narrow the gap between human performance and algorithms on this task. The code is publicly available in the MLOSS repository.
49#
發(fā)表于 2025-3-30 03:50:45 | 只看該作者
https://doi.org/10.1007/978-3-642-58567-8e manifold structure of the feature space. We show that both of them are important to achieve higher accuracy. Our experiments demonstrate improvements over traditional decision forests in the ChaLearn Gesture Challenge and MNIST data set. They also compare favorably against other state-of-the-art classifiers.
50#
發(fā)表于 2025-3-30 04:03:40 | 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(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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) 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, 2025-10-7 21:35
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
达尔| 昌图县| 合阳县| 中山市| 吴堡县| 赤水市| 祁东县| 藁城市| 星子县| 化德县| 寻乌县| 中方县| 嘉峪关市| 新干县| 图木舒克市| 肃宁县| 儋州市| 精河县| 新疆| 德庆县| 钦州市| 乌恰县| 专栏| 房山区| 略阳县| 泽库县| 平顶山市| 古丈县| 青田县| 克什克腾旗| 大丰市| 澄城县| 晋江市| 莱西市| 保山市| 大同县| 化德县| 时尚| 洛阳市| 湘潭县| 烟台市|