Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030161415, 9783030161422

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A Multi-scale Recalibrated Approach for 3D Human Pose Estimation

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_31 ◽

2019 ◽

pp. 400-411

Author(s):

Ziwei Xie ◽

Hailun Xia ◽

Chunyan Feng

Keyword(s):

Pose Estimation ◽

Human Pose Estimation ◽

Multi Scale ◽

Human Pose ◽

3D Human Pose Estimation

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Robust Semi-supervised Representation Learning for Graph-Structured Data

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_11 ◽

2019 ◽

pp. 131-143 ◽

Cited By ~ 1

Author(s):

Lan-Zhe Guo ◽

Tao Han ◽

Yu-Feng Li

Keyword(s):

Representation Learning ◽

Structured Data

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AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_1 ◽

2019 ◽

pp. 3-14

Author(s):

Lei Sang ◽

Min Xu ◽

Shengsheng Qian ◽

Xindong Wu

Keyword(s):

Network Embedding ◽

Multi Scale ◽

Scale Network

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NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_2 ◽

2019 ◽

pp. 15-26

Author(s):

Dedong Li ◽

Aimin Zhou ◽

Chuan Shi

Keyword(s):

Network Embedding

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Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_30 ◽

2019 ◽

pp. 387-399 ◽

Cited By ~ 3

Author(s):

Selvarajah Thuseethan ◽

Sutharshan Rajasegarar ◽

John Yearwood

Keyword(s):

Expression Intensity ◽

Intensity Changes ◽

Deep Cnn ◽

Micro Expression

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Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_16 ◽

2019 ◽

pp. 199-211

Author(s):

Yaocheng Gui ◽

Qian Liu ◽

Tingming Lu ◽

Zhiqiang Gao

Keyword(s):

Reinforcement Learning ◽

Relation Extraction ◽

Distant Supervision

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Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_4 ◽

2019 ◽

pp. 40-53

Author(s):

Jan Neerbek ◽

Peter Dolog ◽

Ira Assent

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Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_6 ◽

2019 ◽

pp. 68-80

Author(s):

Tiehang Duan ◽

Qi Lou ◽

Sargur N. Srihari ◽

Xiaohui Xie

Keyword(s):

Bayesian Approach ◽

Text Clustering ◽

Non Parametric

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PCANE: Preserving Context Attributes for Network Embedding

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_13 ◽

2019 ◽

pp. 156-168

Author(s):

Danhao Zhu ◽

Xin-yu Dai ◽

Kaijia Yang ◽

Jiajun Chen ◽

Yong He

Keyword(s):

Network Embedding

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AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16142-2_29 ◽

2019 ◽

pp. 375-386 ◽

Cited By ~ 1

Author(s):

Qiankun Ye ◽

Xiankai Lu ◽

Hong Huo ◽

Lihong Wan ◽

Yiyou Guo ◽

...

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Convolutional Neural Network ◽

Optical Remote Sensing ◽

Remote Sensing Images

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Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Multi-scale Recalibrated Approach for 3D Human Pose Estimation

Robust Semi-supervised Representation Learning for Graph-Structured Data

AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding

NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation

Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN

Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning

Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings

Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach

PCANE: Preserving Context Attributes for Network Embedding

AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
Latest Publications