Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Nitish Thakor

Nitish Thakor

Teresa

Prospective Learning: Back to the Future



Joshua T. Vogelstein , Timothy Verstynen , Konrad P. Kording , Leyla Isik , John W. Krakauer , Ralph Etienne-Cummings , Elizabeth L. Ogburn , Carey E. Priebe , Randal Burns , Kwame Kutten , James J. Knierim , James B. Potash , Thomas Hartung , Lena Smirnova , Paul Worley , Alena Savonenko , Ian Phillips , Michael I. Miller , Rene Vidal , Jeremias Sulam , Adam Charles , Noah J. Cowan , Maxim Bichuch , Archana Venkataraman , Chen Li , Nitish Thakor , Justus M Kebschull , Marilyn Albert , Jinchong Xu , Marshall Hussain Shuler , Brian Caffo , Tilak Ratnanather , Ali Geisa , Seung-Eon Roh , Eva Yezerets , Meghana Madhyastha , Javier J. How , Tyler M. Tomita , Jayanta Dey , Ningyuan , Huang , Jong M. Shin , Kaleab Alemayehu Kinfu , Pratik Chaudhari , Ben Baker , Anna Schapiro , Dinesh Jayaraman , Eric Eaton , Michael Platt , Lyle Ungar , Leila Wehbe , Adam Kepecs , Amy Christensen , Onyema Osuagwu , Bing Brunton , Brett Mensh , Alysson R. Muotri , Gabriel Silva , Francesca Puppo , Florian Engert , Elizabeth Hillman , Julia Brown , Chris White , Weiwei Yang

Figure 1 for Prospective Learning: Back to the Future
Figure 2 for Prospective Learning: Back to the Future
Figure 3 for Prospective Learning: Back to the Future

   Access Paper or Ask Questions

Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data



Xianliang Ge , Yunxian Pan , Sujie Wang , Linze Qian , Jingjia Yuan , Jie Xu , Nitish Thakor , Yu Sun

Figure 1 for Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data
Figure 2 for Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data
Figure 3 for Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data
Figure 4 for Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data

   Access Paper or Ask Questions

Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM



Rohan Ghosh , Siyi Tang , Mahdi Rasouli , Nitish Thakor , Sunil Kukreja

Figure 1 for Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Figure 2 for Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Figure 3 for Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Figure 4 for Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
* Appeared in 25th International Conference on Artificial Neural Networks (ICANN), Barcelona, Spain 
   Access Paper or Ask Questions

Spatiotemporal Filtering for Event-Based Action Recognition



Rohan Ghosh , Anupam Gupta , Andrei Nakagawa , Alcimar Soares , Nitish Thakor

Figure 1 for Spatiotemporal Filtering for Event-Based Action Recognition
Figure 2 for Spatiotemporal Filtering for Event-Based Action Recognition
Figure 3 for Spatiotemporal Filtering for Event-Based Action Recognition
Figure 4 for Spatiotemporal Filtering for Event-Based Action Recognition
* Submitted to IEEE Transactions in Pattern Analysis and Machine Intelligence 
   Access Paper or Ask Questions

Spatiotemporal Feature Learning for Event-Based Vision



Rohan Ghosh , Anupam Gupta , Siyi Tang , Alcimar Soares , Nitish Thakor

Figure 1 for Spatiotemporal Feature Learning for Event-Based Vision
Figure 2 for Spatiotemporal Feature Learning for Event-Based Vision
Figure 3 for Spatiotemporal Feature Learning for Event-Based Vision
Figure 4 for Spatiotemporal Feature Learning for Event-Based Vision
* Submitted to IEEE Transactions in Neural Networks and Learning Systems 
   Access Paper or Ask Questions

HFirst: A Temporal Approach to Object Recognition



Garrick Orchard , Cedric Meyer , Ralph Etienne-Cummings , Christoph Posch , Nitish Thakor , Ryad Benosman

Figure 1 for HFirst: A Temporal Approach to Object Recognition
Figure 2 for HFirst: A Temporal Approach to Object Recognition
Figure 3 for HFirst: A Temporal Approach to Object Recognition
Figure 4 for HFirst: A Temporal Approach to Object Recognition
* Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.37, no.10, pp.2028-2040, Oct 2015 
 * 13 pages, 10 figures 
   Access Paper or Ask Questions