Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions

, &
Artificial Intelligence 292 (C):103429 (2021)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/j.artint.2020.103429

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,475

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

An Efficient Weakly Supervised Approach for Texture Segmentation via Graph Cuts.Arnav V. Bhavsar - 2013 - Journal of Intelligent Systems 22 (3):253-267.
Activity Feature Solving Based on TF-IDF for Activity Recognition in Smart Homes.Jinghuan Guo, Yong Mu, Mudi Xiong, Yaqing Liu & Jingxuan Gu - 2019 - Complexity 2019:1-10.
Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions.Xinying Xu, Guiqing Li, Gang Xie, Jinchang Ren & Xinlin Xie - 2019 - Complexity 2019:1-12.
Learning Diphone-Based Segmentation.Robert Daland & Janet B. Pierrehumbert - 2011 - Cognitive Science 35 (1):119-155.
Human Semi-Supervised Learning.Bryan R. Gibson, Timothy T. Rogers & Xiaojin Zhu - 2013 - Topics in Cognitive Science 5 (1):132-172.
Supervised, Unsupervised and Reinforcement Learning-Face Recognition Using Null Space-Based Local Discriminant Embedding.Yanmin Niu & Xuchu Wang - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 4114--245.
A Sociocultural Approach to Recognition and Learning.Peter Musaeus - 2006 - Outlines. Critical Practice Studies 8 (1):19-31.
Linguistic Constraints on Statistical Word Segmentation: The Role of Consonants in Arabic and English.Itamar Kastner & Frans Adriaans - 2018 - Cognitive Science 42 (S2):494-518.
A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice.Dagmar M. Schuller & Björn W. Schuller - 2020 - Emotion Review 13 (1):44-50.
Cross-situational and supervised learning in the emergence of communication.Jose Fernando Fontanari & Angelo Cangelosi - 2011 - Interaction Studies 12 (1):119-133.
Using Predictability for Lexical Segmentation.Çağrı Çöltekin - 2017 - Cognitive Science 41 (7):1988-2021.
The Effect of Sonority on Word Segmentation: Evidence for the Use of a Phonological Universal.Marc Ettlinger, Amy S. Finn & Carla L. Hudson Kam - 2012 - Cognitive Science 36 (4):655-673.
Developmental Differences Between Children and Adults in the Use of Visual Cues for Segmentation.Ori Lavi-Rotbain & Inbal Arnon - 2018 - Cognitive Science 42 (S2):606-620.
Simplicity, Truth, and Clustering.Guillaume Rochefort-Maranda - unknown
Towards Closed Loop Information: Predictive Information.B. Porr, A. Egerton & F. Wörgötter - 2006 - Constructivist Foundations 1 (2):83-90.

Analytics

Added to PP
2020-12-22

Downloads
8 (#1,308,042)

6 months
5 (#629,992)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references