Weakly supervised learning with decision trees applied to fisheries acoustics.

Fisheries Acoustics ◽

Weakly supervised learning using proportion-based information: An application to fisheries acoustics

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761065 ◽

2008 ◽

Cited By ~ 3

Author(s):

R. Fablet ◽

R. Lefort ◽

C. Scalarin ◽

J. Masse ◽

P. Cauchy ◽

...

Keyword(s):

Supervised Learning ◽

Fisheries Acoustics ◽

Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria

2013 IEEE International Conference on Computer Vision ◽

10.1109/iccv.2013.232 ◽

2013 ◽

Cited By ~ 4

Author(s):

Christoph Straehle ◽

Ullrich Koethe ◽

Fred A. Hamprecht

Keyword(s):

Decision Trees ◽

Supervised Learning ◽

The Lateral Conflict Risk Assessment for Low-altitude Training Airspace using Weakly Supervised Learning Method

Intelligent Automation & Soft Computing ◽

10.31209/2018.100000027 ◽

2018 ◽

Vol 24 (3) ◽

pp. 603-611

Author(s):

Kaijun Xu ◽

Xueting Chen ◽

Yusheng Yao ◽

Shanshan Li

Keyword(s):

Risk Assessment ◽

Supervised Learning ◽

Altitude Training ◽

Learning Method ◽

Low Altitude ◽

Weakly Supervised ◽

Conflict Risk

Proceedings of the 5th International Conference on Communication and Information Processing ◽

An improved weakly supervised learning system for detection of sound events in domestic environments

10.1145/3369985.3370007 ◽

2019 ◽

Author(s):

Dezhi Wang ◽

Lilun Zhang ◽

Xinghua Cheng ◽

Dan Zou ◽

Wenbin Xiao

Keyword(s):

Supervised Learning ◽

Learning System ◽

Domestic Environments ◽

2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

Novel American Sign Language Fingerspelling Recognition in the Wild with Weakly Supervised Learning and Feature Embedding

10.1109/ecti-con51831.2021.9454677 ◽

2021 ◽

Author(s):

Peerawat Pannattee ◽

Wuttipong Kumwilaisak ◽

Chatchawarn Hansakunbuntheung ◽

Nattanun Thatphithakkul

Keyword(s):

American Sign Language ◽

Supervised Learning ◽

Sign Language ◽

American Sign ◽

In The Wild ◽

Weakly Supervised Learning Creates a Fusion of Modeling Cultures

Observational Studies ◽

10.1353/obs.2021.0011 ◽

2021 ◽

Vol 7 (1) ◽

pp. 203-211

Author(s):

Chengliang Tang ◽

Gan Yuan ◽

Tian Zheng

Keyword(s):

Supervised Learning ◽

Effects of Network Depths on Semantic Image Segmentation By Weakly Supervised Learning

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302471 ◽

2020 ◽

Author(s):

Cenk Bircanoglu ◽

Nafiz Arica

Keyword(s):

Image Segmentation ◽

Supervised Learning ◽

Semantic Image Segmentation ◽

Weakly Supervised Learning through Rank-based Contextual Measures

2020 25th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr48806.2021.9412596 ◽

2021 ◽

Author(s):

Joao Gabriel Camacho Presotto ◽

Lucas Pascotti Valem ◽

Nikolas Gomes de Sa ◽

Daniel Carlos Guimaraes Pedronette ◽

Joao Paulo Papa

Keyword(s):

Supervised Learning ◽

Weakly-Supervised Learning of Visual Relations

2017 IEEE International Conference on Computer Vision (ICCV) ◽

10.1109/iccv.2017.554 ◽

2017 ◽

Cited By ~ 56

Author(s):

Julia Peyre ◽

Ivan Laptev ◽

Cordelia Schmid ◽

Josef Sivic

Keyword(s):

Supervised Learning ◽

Weakly Supervised ◽

Visual Relations

Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision

IEEE Signal Processing Magazine ◽

10.1109/msp.2017.2742558 ◽

2017 ◽

Vol 34 (6) ◽

pp. 39-49 ◽

Cited By ~ 12

Author(s):

Seunghoon Hong ◽

Suha Kwak ◽

Bohyung Han

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Convolutional Neural Networks ◽

Semantic Segmentation ◽

Deep Convolutional Neural Networks ◽