Learn the K in K-means clustering
Intelligently split clusters to automatically determine the number of clusters in K-means.
Posts by Collection
portfolio
Manifold Parzen Windows
A manifold-aware parzen windows density estimator. 
Street Scene
A new dataset and evaluation protocol for video anomaly detection. 
Video anomaly detection with auto-encoders
Reproduction of a paper that performs video frame-level video anomaly detection using convolutional auto-encoders
publications
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring
Published in IEEE International Conference on Big Data, 2016
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Real-Time Energy Audit of Built Environments: Simultaneous Localization and Thermal Mapping
Published in Journal of Infrastructure Systems, 2018
This paper is about performing SLAM with a thermal sensor.
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Relational Long Short-Term Memory for Video Action Recognition
Published in arXiv, 2018
This paper presents a Relational LSTM network for Video Action Recognition.
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Anomalous cluster detection in spatiotemporal meteorological fields
Published in Statistical Analysis and Data Mining: The ASA Data Science Journal, 2018
This paper presents a piecewise parameteric approach to detect anomalous clusters in gridded spatio-temporal data.
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Estimating a Manifold from a Tangent Bundle Learner
Published in arXiv, 2019
This paper is about estimating a manifold from a tangent bundle learner.
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Learning a distance function with a siamese network to localize anomalies in videos
Published in WACV 2020, 2020
This paper presents a new metric learning approach to localize anomalies in surveillance video.
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Street Scene: A new dataset and evaluation protocol for video anomaly detection
Published in WACV 2020, 2020
This paper presents a new large dataset and evaluation protocol for video anomaly detection.
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Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery
Published in KDD, 2020
This paper presents a multimodal strategy for crop classification using multispectral imagery and NDVI phenology time series
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A Survey of Single-Scene Video Anomaly Detection
Published in TPAMI 2020, 2020
This survey article summarizes research trends on the topic of anomaly detection in videos
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Local Clustering with Mean Teacher for Semi-supervised learning
Published in ICPR, 2021
This paper presents a simple method called Local Clustering to mitigate the issue of confirmation bias in Mean Teacher
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Perceptual metric learning for video anomaly detection
Published in MVA 2021, 2021
This paper generalizes a previous metric learning approach to operate with arbitrary-sized region proposals to localize anomalies in surveillance video
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