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: Computer Analysis of Images and Patterns; 15th International C Richard Wilson,Edwin Hancock,William Smith Conference proceedings 2013 Sprin

[復(fù)制鏈接]
樓主: bradycardia
51#
發(fā)表于 2025-3-30 11:05:04 | 只看該作者
Rapid Localisation and Retrieval of Human Actions with Relevance Feedback,pts to perform similar action searches with localisation. We demonstrate how results can be enhanced using relevance feedback, considering how relevance feedback can be effectively applied in the context of localisation.
52#
發(fā)表于 2025-3-30 14:57:46 | 只看該作者
53#
發(fā)表于 2025-3-30 20:13:58 | 只看該作者
Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel,y. Here we propose to use Isomap to embed the graphs using only local distance information onto a new vectorial space with a higher class separability. The experimental evaluation shows the effectiveness of the proposed approach.
54#
發(fā)表于 2025-3-30 20:51:30 | 只看該作者
Maximizing Edit Distance Accuracy with Hidden Conditional Random Fields,models such as Hidden Markov Models or Conditional Random Fields, whose quality is measured through character and word error rates while they are usually not trained to optimize such criterion. We propose an efficient method for learning Hidden Conditional Random Fields to optimize the error rate within the large margin framework.
55#
發(fā)表于 2025-3-31 03:56:25 | 只看該作者
Richard Wilson,Edwin Hancock,William SmithProceedings of the 15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013
56#
發(fā)表于 2025-3-31 06:13:58 | 只看該作者
57#
發(fā)表于 2025-3-31 11:03:17 | 只看該作者
https://doi.org/10.1007/978-3-7643-8675-7far beyond being only an application field. Indeed, it is a wide field with huge potential for developing novel concepts and algorithms and can be seen as a driving force for computer vision research. To emphasize this view of biomedical computer vision we consider a variety of important topics of b
58#
發(fā)表于 2025-3-31 13:37:51 | 只看該作者
59#
發(fā)表于 2025-3-31 20:50:47 | 只看該作者
60#
發(fā)表于 2025-4-1 01:34:41 | 只看該作者
https://doi.org/10.1007/978-3-7643-8675-7ecently proposed methods try to comprehensively use both image- and region-level features for more satisfactory performance, but they either cannot well explore the relationship between the two kinds of features or lead to heavy computational load. In this paper, by adopting support vector machine (
 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, 2026-1-21 06:46
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
大化| 沙坪坝区| 斗六市| 徐闻县| 溧水县| 曲靖市| 名山县| 襄樊市| 郸城县| 延庆县| 南部县| 丹阳市| 永顺县| 凤庆县| 龙井市| 寻乌县| 四平市| 江门市| 天祝| 邛崃市| 巢湖市| 石嘴山市| 东辽县| 马山县| 五常市| 大渡口区| 苍溪县| 华容县| 德保县| 承德市| 淅川县| 五原县| 奉化市| 延寿县| 青岛市| 枞阳县| 绍兴县| 金溪县| 芦山县| 永兴县| 余姚市|