4.2k citations · 4.4k across the 40 of their papers we have counts for
3 papers · 1 filter
Online Adaptation of Deep Architectures with Reinforcement Learning
Thushan Ganegedara, Lionel Ott, Fabio Ramos
Online learning has become crucial to many problems in machine learning. As more data is collected sequentially, quickly adapting to changes in the data distribution can offer seve…
Simple Online and Realtime Tracking
Alex Bewley, Zongyuan Ge, Lionel Ott +2
This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications. To this end, det…
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection
Markus Schneider, Wolfgang Ertel, Fabio Ramos
We present a novel algorithm for anomaly detection on very large datasets and data streams. The method, named EXPected Similarity Estimation (EXPoSE), is kernel-based and able to e…