A novel approach for identifying lateral movement attacks based on network embedding
The growing targeted incidents constitute a permanent menace to internal security with more
frequent data breach and service interruption events nowadays. Attackers move laterally …
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 …
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 …
linguistic documentation. Language documentation is a slow process and there are an …
Semantics-enhanced supervised deep autoencoder for depth image-based 3D model retrieval
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 …
depth-data source for various 3D oriented applications. Specifically, 3D model retrieval is …
Supervised deep-autoencoder for depth image-based 3d model retrieval
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 …
variability present in depth images. In this work, we study a new supervised deep …
Semi-supervised phoneme recognition with recurrent ladder networks
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 …
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 …
depth-data source for 3D processing. Specifically, 3D model retrieval is attracting attention in …