Multi-domain data is becoming increasingly common and presents both
chal...
The integration of multimodal data presents a challenge in cases when th...
Random forests are considered one of the best out-of-the-box classificat...
Unmanned aerial vehicles (UAV) often rely on GPS for navigation. GPS sig...
A fundamental task in data exploration is to extract simplified low
dime...
Dimensionality reduction is often used as an initial step in data
explor...
Big data often has emergent structure that exists at multiple levels of
...
Manifold learning techniques for dynamical systems and time series have ...
Bounding the best achievable error probability for binary classification...
We propose a direct estimation method for Rényi and f-divergence measure...
Information theoretic measures (e.g. the Kullback Liebler divergence and...
High frequency oscillations (HFOs) are a promising biomarker of epilepti...
Meta learning uses information from base learners (e.g. classifiers or
e...
Separating active regions that are quiet from potentially eruptive ones ...
The flare-productivity of an active region is observed to be related to ...
The problem of f-divergence estimation is important in the fields of mac...
Sunspots, as seen in white light or continuum images, are associated wit...