RESEARCH

Creating the State of the Art

DEEP LEARNING FOR VIDEO AND IMAGE ANALYTICS

Selected Papers

CactusNets: Layer Applicability as a Metric for Transfer Learning​

DeepSat – A Learning framework for Satellite Imagery
A Theoretical Analysis of Deep Neural Networks for Texture Classification
A Semi-automated Probabilistic Framework for Tree Cover Delineation from 1-m NAIP Imagery Using a High Performance Computing Architecture
Food Image Analysis for Measuring Food Intake in Free Living Conditions
Core Sampling Framework for Pixel Classification

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See also:
NASA Using Deep Belief Networks for Image Classification

DEEP LEARNING FOR AUTOMATIC IMAGE COLORING

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DEEP LEARNING FOR NON-INVASIVE MANUFACTURING DIAGNOSTICS

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DEEP LEARNING FOR DOCUMENT ANALYSIS

Selected Papers

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets

DEEP LEARNING FOR SEMANTIC IMAGE SEGMENTATION

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DEEP LEARNING FOR INDIAN LANGUAGE DOCUMENT RECOGNITION

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OTHER AREAS OF RESEARCH

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Deep Learning for Smart Supply Chain Management

Deep Learning for Drug Discovery
Deep Learning for Automated Drug Design
Deep Learning for E-Commerce & Finance