Detecting an abrupt and persistent change in the underlying distribution...
The problem of reinforcement learning is considered where the environmen...
Algorithms are developed for the quickest detection of a change in
stati...
The problem of detecting the presence of a signal that can lead to a dis...
Classical quickest change detection algorithms require modeling pre-chan...
Theory and algorithms are developed for event detection using multimodal...
A new class of stochastic processes called independent and periodically
...
We consider the problem of predicting eye movement goals from local fiel...
A new class of stochastic processes called independent and periodically
...
The problem of detecting changes in firing patterns in neural data is
st...
A framework is proposed to detect anomalies in multi-modal data. A deep
...
The problem of sequential detection of anomalies in multimodal data is
c...
A macaque monkey is trained to perform two different kinds of tasks, mem...
We consider the problem of designing an allocation rule or an "online
le...