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Random Warping Series: A Random Features Method for Time-Series
  Embedding

Random Warping Series: A Random Features Method for Time-Series Embedding

14 September 2018
Lingfei Wu
Ian En-Hsu Yen
Jinfeng Yi
Fangli Xu
Qi Lei
Michael Witbrock
    AI4TS
ArXiv (abs)PDFHTMLGithub (21★)

Papers citing "Random Warping Series: A Random Features Method for Time-Series Embedding"

11 / 11 papers shown
Title
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and
  Theoretical Analysis
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Taha Belkhouja
Yan Yan
J. Doppa
OODAI4TS
77
9
0
09 Jul 2022
Towards Similarity-Aware Time-Series Classification
Towards Similarity-Aware Time-Series Classification
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Helen Zhou
AI4TS
99
24
0
05 Jan 2022
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
141
590
0
19 Jun 2021
Efficient Global String Kernel with Random Features: Beyond Counting
  Substructures
Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Lingfei Wu
Ian En-Hsu Yen
Siyu Huo
Liang Zhao
Kun Xu
Liang Ma
S. Ji
Charu C. Aggarwal
76
5
0
25 Nov 2019
Scalable Global Alignment Graph Kernel Using Random Features: From Node
  Embedding to Graph Embedding
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Lingfei Wu
Ian En-Hsu Yen
Zhen Zhang
Kun Xu
Liang Zhao
Xi Peng
Yinglong Xia
Charu C. Aggarwal
92
31
0
25 Nov 2019
Learning Behavioral Representations from Wearable Sensors
Learning Behavioral Representations from Wearable Sensors
N. Tavabi
Homa Hosseinmardi
J. Villatte
A. Abeliuk
Shrikanth Narayanan
Emilio Ferrara
Kristina Lerman
13
7
0
16 Nov 2019
Multi-stage Deep Classifier Cascades for Open World Recognition
Multi-stage Deep Classifier Cascades for Open World Recognition
Xiaojie Guo
Amir Alipour-Fanid
Lingfei Wu
Hemant Purohit
Xiang Chen
K. Zeng
Liang Zhao
ObjD
67
12
0
26 Aug 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
SSLAI4TS
82
462
0
30 Jan 2019
Word Mover's Embedding: From Word2Vec to Document Embedding
Word Mover's Embedding: From Word2Vec to Document Embedding
Lingfei Wu
Ian En-Hsu Yen
Kun Xu
Fangli Xu
Avinash Balakrishnan
Pin-Yu Chen
Pradeep Ravikumar
Michael Witbrock
64
107
0
30 Oct 2018
A review on distance based time series classification
A review on distance based time series classification
A. Abanda
U. Mori
Jose A. Lozano
AI4TS
78
252
0
12 Jun 2018
Space-efficient Feature Maps for String Alignment Kernels
Space-efficient Feature Maps for String Alignment Kernels
Yasuo Tabei
Yoshihiro Yamanishi
Rasmus Pagh
34
2
0
18 Feb 2018
1