A novel approach for identifying lateral movement attacks based on network embedding

M Chen, Y Yao, J Liu, B Jiang, L Su… - 2018 IEEE Intl Conf on …, 2018 - ieeexplore.ieee.org
The growing targeted incidents constitute a permanent menace to internal security with more
frequent data breach and service interruption events nowadays. Attackers move laterally …

Automatic context window composition for distant speech recognition

M Ravanelli, M Omologo - Speech Communication, 2018 - Elsevier
Distant speech recognition is being revolutionized by deep learning, that has contributed to
significantly outperform previous HMM-GMM systems. A key aspect behind the rapid rise …

[PDF][PDF] Automatic understanding of unwritten languages

O Adams - 2017 - minerva-access.unimelb.edu.au
Many of the world's languages are falling out of use without a written record and minimal
linguistic documentation. Language documentation is a slow process and there are an …

Semantics-enhanced supervised deep autoencoder for depth image-based 3D model retrieval

A Siddiqua, G Fan - Pattern recognition letters, 2019 - Elsevier
Increased accuracy and affordability of depth sensors such as Kinect has created a great
depth-data source for various 3D oriented applications. Specifically, 3D model retrieval is …

Supervised deep-autoencoder for depth image-based 3d model retrieval

A Siddiqua, G Fan - … IEEE Winter Conference on Applications of …, 2018 - ieeexplore.ieee.org
Depth image based 3D model retrieval faces challenges of occlusion, noise, and view
variability present in depth images. In this work, we study a new supervised deep …

Semi-supervised phoneme recognition with recurrent ladder networks

M Tietz, T Alpay, J Twiefel, S Wermter - … 11-14, 2017, Proceedings, Part I …, 2017 - Springer
Ladder networks are a notable new concept in the field of semi-supervised learning by
showing state-of-the-art results in image recognition tasks while being compatible with many …

Deep Autoencoders for Cross-Modal Retrieval

A Siddiqua - 2019 - search.proquest.com
Increased accuracy and affordability of depth sensors such as Kinect has created a great
depth-data source for 3D processing. Specifically, 3D model retrieval is attracting attention in …