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Home > Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III > A Fast Algorithm for Simultaneous Sparse Approximation
Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III |
Kamal Karlapalem; Hong Cheng; Naren Ramakrishnan; R. K. Agrawal; P. Krishna Reddy; Jaideep Srivastava; Tanmoy Chakraborty
Springer International Publishing
Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III
A Fast Algorithm for Simultaneous Sparse Approximation
Authors

Guihong Wan; Haim Schweitzer

ARI Id

1665317038598_5873244

Access

Not Available Free

Pages

42-54

DOI

10.1007/978-3-030-75768-7_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-75768-7_4

Table of Contents of Book
Showing 1 to 20 of 38 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxiii
Front Matter
1-1
Episode Adaptive Embedding Networks for Few-Shot Learning
Fangbing Liu; Qing Wang
3-15
Universal Representation for Code
Linfeng Liu; Hoan Nguyen; George Karypis; Srinivasan Sengamedu
16-28
Self-supervised Adaptive Aggregator Learning on Graph
Bei Lin; Binli Luo; Jiaojiao He; Ning Gui
29-41
A Fast Algorithm for Simultaneous Sparse Approximation
Guihong Wan; Haim Schweitzer
42-54
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
Prakamya Mishra
55-66
RW-GCN: Training Graph Convolution Networks with Biased Random Walk for Semi-supervised Classification
Yinzhe Li; Zhijie Ban
67-76
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models
Mojtaba Nayyeri; Chengjin Xu; Yadollah Yaghoobzadeh; Sahar Vahdati; Mirza Mohtashim Alam; Hamed Shariat Yazdi et al.
77-89
SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network
Amit Roy; Kashob Kumar Roy; Amin Ahsan Ali; M. Ashraful Amin; A. K. M. Mahbubur Rahman
90-102
VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning
Viresh Gupta; Tanmoy Chakraborty
103-115
Self-supervised Graph Representation Learning with Variational Inference
Zihan Liao; Wenxin Liang; Han Liu; Jie Mu; Xianchao Zhang
116-127
Manifold Approximation and Projection by Maximizing Graph Information
Bahareh Fatemi; Soheila Molaei; Hadi Zare; Shirui Pan
128-140
Learning Attention-Based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping
Zhihao Wang; Honggang Xu; Xin Li; Yuxin Deng
141-154
Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction
Zhiheng Lyu; Kaijie Shi; Xin Li; Lei Hou; Juanzi Li; Binheng Song
155-167
Human-Understandable Decision Making for Visual Recognition
Xiaowei Zhou; Jie Yin; Ivor Tsang; Chen Wang
168-180
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
Zhiyuan Ning; Ziyue Qiao; Hao Dong; Yi Du; Yuanchun Zhou
181-193
Transferring Domain Knowledge with an Adviser in Continuous Tasks
Rukshan Wijesinghe; Kasun Vithanage; Dumindu Tissera; Alex Xavier; Subha Fernando; Jayathu Samarawickrama
194-205
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
Weipeng Huang; Nishma Laitonjam; Guangyuan Piao; Neil J. Hurley
206-218
Quality Control for Hierarchical Classification with Incomplete Annotations
Masafumi Enomoto; Kunihiro Takeoka; Yuyang Dong; Masafumi Oyamada; Takeshi Okadome
219-230
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 38 entries
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