Skip to main content
Sign in
Summit Research Repository
SIGN IN
SFU Mail
goSFU
Canvas
Library Catalogue
Search
Search
This site
SFU.ca
Submit your Research
Menu
Main navigation
Home
Collections
About
Contact
Search Summit
Search
Search
Sort by
Relevance
Title
Order
Asc
Desc
Search
Displaying 1 - 15 of 15
Theoretical and applicational advances in variational autoencoders
Author:
He, Jiawei
Date created:
2019-12-02
Learning deep structured models for visual understanding
Author:
Deng, Zhiwei
Date created:
2019-09-16
Learning and its discontents: Three theories of study and the figure of the studier
Author:
Krilic, Alma
Date created:
2018-12-14
Deep models for multi-person activity understanding
Author:
Ibrahim, Moustafa
Date created:
2018-11-20
Finding Yemaya's sisters: Exploring multimodal approaches in teacher reflective practice
Author:
Neilson, Kathy
Date created:
2015-09-18
Weakly Supervised Models For Recognizing And Clustering High-level Complex Events In Video
Author:
Vahdat, Arash
Date created:
2014-12-05
Towards Action Recognition and Localization in Videos with Weakly Supervised Learning
Author:
Shapovalova, Nataliya
Date created:
2014-11-27
Multiple instance learning for visual recognition: Learning latent probabilistic models
Author:
Hajimirsadeghi, Seyed Hossein
Date created:
2015-09-08
End-To-End and Direct Human-Flying Robot Interaction
Author:
Monajjemi, Valiallah (Mani)
Date created:
2016-08-19
A multiple case study of points of tension during TESOL teaching practica
Author:
Densky, Karen
Date created:
2017-04-11
Multimodal Interfaces for Human-Robot Interaction
Author:
Pourmehr, Shokoofeh
Date created:
2016-12-23
Discriminative latent variable models for visual recognition
Author:
Yang, Weilong
Date created:
2012-09-26
From Flat to Hierarchical: Modeling Structures in Visual Recognition
Author:
Lan, Tian
Date created:
2013-08-29
Optimizing non-decomposable loss functions in structured prediction
Author:
Ranjbar, Mani
Date created:
2012-04-10
Toward Scene Recognition by Discovering Semantic Structures and Parts
Author:
Zhou, Guang-Tong
Date created:
2015-11-17