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20092023
most citedVideo Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE

11 citations · 30 across the 17 of their papers we have counts for

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7 papers · 1 filter

stat.AP2020

Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?

Adway Mitra

Many democratic countries use district-based elections where there is a "seat" for each district in the governing body. In each district, the party whose candidate gets the maximum…

stat.AP2018★ 2 cited

Spatio-temporal Patterns of Indian Monsoon Rainfall

Adway Mitra, Amit Apte, Rama Govindarajan +2

The primary objective of this paper is to analyze a set of canonical spatial patterns that approximate the daily rainfall across the Indian region, as identified in the companion p…

stat.AP2018★ 3 cited

A Discrete View of the Indian Monsoon to Identify Spatial Patterns of Rainfall

Adway Mitra, Amit Apte, Rama Govindarajan +2

We propose a representation of the Indian summer monsoon rainfall in terms of a probabilistic model based on a Markov Random Field, consisting of discrete state variables represent…

stat.AP2017

Identifying Coherent Anomalies in Multi-Scale Spatio-Temporal Data using Markov Random Fields

Adway Mitra

Many physical processes involve spatio-temporal observations, which can be studied at different spatial and temporal scales. For example, rainfall data measured daily by rain gauge…

stat.AP2017

Bayesian approach to Spatio-temporally Consistent Simulation of Daily Monsoon Rainfall over India

Adway Mitra

Simulation of rainfall over a region for long time-sequences can be very useful for planning and policy-making, especially in India where the economy is heavily reliant on monsoon…

stat.AP2017

Detection of Spatiotemporally Coherent Rainfall Anomalies Using Markov Random Fields

Adway Mitra, Ashwin K. Seshadri

Precipitation is a large-scale, spatio-temporally heterogeneous phenomenon, with frequent anomalies exhibiting unusually high or low values. We use Markov Random Fields (MRFs) to d…