Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions.
Yuhang ChenChih-Hong ChengJun YanRongjie YanPublished in: CoRR (2021)
Keyphrases
- input data
- data sets
- noisy data
- detection algorithm
- learning algorithm
- object detection
- dynamic programming
- cost function
- data analysis
- data points
- database
- data sources
- data mining techniques
- computational complexity
- data samples
- probability distribution
- worst case
- expectation maximization
- segmentation algorithm
- spectral clustering
- real time
- np hard
- k means
- preprocessing
- data structure
- knowledge discovery
- training data
- optimal solution
- information loss
- similarity measure
- data distribution
- monitoring system
- sensor data
- objective function
- data collection
- simulated annealing
- probabilistic model