Manohar Karki

According to our database1, Manohar Karki authored at least 13 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.
J. Digital Imaging, 2019

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification.
CoRR, 2019

Deep neural networks for texture classification - A theoretical analysis.
Neural Networks, 2018

Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.
Neural Processing Letters, 2017

Core Sampling Framework for Pixel Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A symbolic framework for recognizing activities in full motion surveillance videos.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A theoretical analysis of Deep Neural Networks for texture classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture.
IEEE Trans. Geoscience and Remote Sensing, 2015

MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models.
Proceedings of the VISAPP 2015, 2015

DeepSat: a learning framework for satellite imagery.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

An Agile Framework for Real-Time Motion Tracking.
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015