activity
20162019
most citedIntelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video

25 citations · 25 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV201925 cited

Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video

Xiaohui Huang, Pan He, Anand Rangarajan +1

In Intelligent Transportation System, real-time systems that monitor and analyze road users become increasingly critical as we march toward the smart city era. Vision-based framewo…

cs.CV2018

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

Chengliang Yang, Anand Rangarajan, Sanjay Ranka

We develop three efficient approaches for generating visual explanations from 3D convolutional neural networks (3D-CNNs) for Alzheimer's disease classification. One approach conduc…

cs.LG2018

Global Model Interpretation via Recursive Partitioning

Chengliang Yang, Anand Rangarajan, Sanjay Ranka

In this work, we propose a simple but effective method to interpret black-box machine learning models globally. That is, we use a compact binary tree, the interpretation tree, to e…

cs.CL2016

A Compositional Approach to Language Modeling

Kushal Arora, Anand Rangarajan

Traditional language models treat language as a finite state automaton on a probability space over words. This is a very strong assumption when modeling something inherently comple…

cs.CV2016

Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines

Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge +2

In this study, a machine learning algorithm is used for disaggregation of SMAP brightness temperatures (T) from 36km to 9km. It uses image segmentation to cluster th…