3 citations · 4 across the 11 of their papers we have counts for
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stat.AP2017
Multi-scale streaming anomalies detection for time series
B Ravi Kiran
In the class of streaming anomaly detection algorithms for univariate time series, the size of the sliding window over which various statistics are calculated is an important param…
stat.ML2017
Rejection-Cascade of Gaussians: Real-time adaptive background subtraction framework
B Ravi Kiran, Arindam Das, Senthil Yogamani
Background-Foreground classification is a well-studied problem in computer vision. Due to the pixel-wise nature of modeling and processing in the algorithm, it is usually difficult…
stat.ML2017
Cost-complexity pruning of random forests
Kiran Bangalore Ravi, Jean Serra
Random forests perform bootstrap-aggregation by sampling the training samples with replacement. This enables the evaluation of out-of-bag error which serves as a internal cross-val…