-
Chapter and Conference Paper
Multi Object Tracking for Similar Instances: A Hybrid Architecture
Tracking and segmentation of moving objects in videos continues to be the central problem in the separation and prediction of concurrent episodes and situation understanding. Along with critical issues such as...
-
Chapter and Conference Paper
Estimating Cartesian Compression via Deep Learning
We introduce a learning architecture that can serve compression while it also satisfies the constraints of factored reinforcement learning. Our novel Cartesian factors enable one to decrease the number of variabl...
-
Chapter and Conference Paper
Robust Detection of Anomalies via Sparse Methods
The problem of anomaly detection is a critical topic across application domains and is the subject of extensive research. Applications include finding frauds and intrusions, warning on robot safety, and many othe...