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Home > Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III > A Multi-scale Recalibrated Approach for 3D Human Pose Estimation
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III |
Qiang Yang; Zhi-Hua Zhou; Zhiguo Gong; Min-Ling Zhang; Sheng-Jun Huang
Springer International Publishing
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III
A Multi-scale Recalibrated Approach for 3D Human Pose Estimation
Authors

Ziwei Xie; Hailun Xia; Chunyan Feng

ARI Id

1665177286419_5172856

Access

Not Available Free

Pages

400-411

DOI

10.1007/978-3-030-16142-2_31

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-16142-2_31

Table of Contents of Book
Showing 1 to 20 of 49 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxviii
Front Matter
1-1
AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding
Lei Sang; Min Xu; Shengsheng Qian; Xindong Wu
3-14
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation
Dedong Li; Aimin Zhou; Chuan Shi
15-26
Ranking Network Embedding via Adversarial Learning
Quanyu Dai; Qiang Li; Liang Zhang; Dan Wang
27-39
Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings
Jan Neerbek; Peter Dolog; Ira Assent
40-53
Extracting Keyphrases from Research Papers Using Word Embeddings
Wei Fan; Huan Liu; Suge Wang; Yuxiang Zhang; Yaocheng Chang
54-67
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
Tiehang Duan; Qi Lou; Sargur N. Srihari; Xiaohui Xie
68-80
SSNE: Status Signed Network Embedding
Chunyu Lu; Pengfei Jiao; Hongtao Liu; Yaping Wang; Hongyan Xu; Wenjun Wang
81-93
On the Network Embedding in Sparse Signed Networks
Ayan Kumar Bhowmick; Koushik Meneni; Bivas Mitra
94-106
MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding
Ran Wang; Yang Song; Xin-yu Dai
107-118
Auto-encoder Based Co-training Multi-view Representation Learning
Run-kun Lu; Jian-wei Liu; Yuan-fang Wang; Hao-jie Xie; Xin Zuo
119-130
Robust Semi-supervised Representation Learning for Graph-Structured Data
Lan-Zhe Guo; Tao Han; Yu-Feng Li
131-143
Characterizing the SOM Feature Detectors Under Various Input Conditions
Macario O. Cordel II; Arnulfo P. Azcarraga
144-155
PCANE: Preserving Context Attributes for Network Embedding
Danhao Zhu; Xin-yu Dai; Kaijia Yang; Jiajun Chen; Yong He
156-168
A Novel Framework for Node/Edge Attributed Graph Embedding
Guolei Sun; Xiangliang Zhang
169-182
Front Matter
183-183
Context-Aware Dual-Attention Network for Natural Language Inference
Kun Zhang; Guangyi Lv; Enhong Chen; Le Wu; Qi Liu; C. L. Philip Chen
185-198
Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning
Yaocheng Gui; Qian Liu; Tingming Lu; Zhiqiang Gao
199-211
Towards One Reusable Model for Various Software Defect Mining Tasks
Heng-Yi Li; Ming Li; Zhi-Hua Zhou
212-224
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 49 entries
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