Alexander Andreopoulos

According to our database, Alexander Andreopoulos authored at least 27 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip.

Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

IBM NorthPole Neural Inference Machine.

Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2019

A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision.

John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu

CoRR, 2019

TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years.

Michael V. DeBole, Brian Taba, Arnon Amir, Filipp Akopyan, Alexander Andreopoulos, William P. Risk, Jeff Kusnitz, Carlos Ortega Otero, Tapan K. Nayak, Rathinakumar Appuswamy, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Steven K. Esser, Guillaume Garreau, Kevin L. Holland, Scott Lekuch, Michael Mastro, Jeffrey L. McKinstry, Carmelo di Nolfo, Brent Paulovicks, Jun Sawada, Kai Schleupen, Benjamin G. Shaw, Jennifer L. Klamo, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha

Computer, 2019

Why Does Data-Driven Beat Theory-Driven Computer Vision?

John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

A Low Power, High Throughput, Fully Event-Based Stereo System.

Alexander Andreopoulos, Hirak J. Kashyap, Tapan K. Nayak, Arnon Amir, Myron D. Flickner

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor.

Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha, John Sampson, Vijaykrishnan Narayanan

IEEE Trans. Computers, 2017

A Low Power, Fully Event-Based Gesture Recognition System.

Arnon Amir, Brian Taba, David J. Berg, Timothy Melano, Jeffrey L. McKinstry, Carmelo di Nolfo, Tapan K. Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, Jeff Kusnitz, Michael DeBole, Steven K. Esser, Tobi Delbrück, Myron Flickner, Dharmendra S. Modha

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Convolutional networks for fast, energy-efficient neuromorphic computing.

Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha

Proc. Natl. Acad. Sci. USA, 2016

Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.

Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin G. Shaw, Hayley Wu, Brian Giera, Adam T. Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha

Proceedings of the International Conference for High Performance Computing, 2016

LATTE: Low-power Audio Transform with TrueNorth Ecosystem.

Wei-Yu Tsai, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, Dharmendra S. Modha, Jack Sampson, Vijaykrishnan Narayanan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis.

Alexander Andreopoulos, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, Myron D. Flickner

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Visual saliency on networks of neurosynaptic cores.

Alexander Andreopoulos, Brian Taba, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Myron Flickner, William P. Risk, Arnon Amir, Paul Merolla, John V. Arthur, David J. Berg, Jeffrey A. Kusnitz, Pallab Datta, Steven K. Esser, Rathinakumar Appuswamy, Davis Barch, Dharmendra S. Modha

IBM J. Res. Dev., 2015

2014

Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution.

Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada, John V. Arthur, Paul Merolla, Pallab Datta, Marc González Tallada, Brian Taba, Alexander Andreopoulos, Arnon Amir, Steven K. Esser, Jeff Kusnitz, Rathinakumar Appuswamy, Chuck Haymes, Bernard Brezzo, Roger Moussalli, Ralph Bellofatto, Christian W. Baks, Michael Mastro, Kai Schleupen, Charles E. Cox, Ken Inoue, Steven E. Millman, Nabil Imam, Emmett McQuinn, Yutaka Y. Nakamura, Ivan Vo, Chen Guok, Don Nguyen, Scott Lekuch, Sameh W. Asaad, Daniel J. Friedman, Bryan L. Jackson, Myron Flickner, William P. Risk, Rajit Manohar, Dharmendra S. Modha

Proceedings of the International Conference for High Performance Computing, 2014

2013

A Computational Learning Theory of Active Object Recognition Under Uncertainty.

Alexander Andreopoulos, John K. Tsotsos

Int. J. Comput. Vis., 2013

50 Years of object recognition: Directions forward.

Alexander Andreopoulos, John K. Tsotsos

Comput. Vis. Image Underst., 2013

Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores.

Steven K. Esser, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Davis Barch, Arnon Amir, John V. Arthur, Andrew Cassidy, Myron Flickner, Paul Merolla, Shyamal Chandra, Nicola Basilico, Stefano Carpin, Tom Zimmerman, Frank Zee, Rodrigo Alvarez-Icaza, Jeffrey A. Kusnitz, Theodore M. Wong, William P. Risk, Emmett McQuinn, Tapan K. Nayak, Raghavendra Singh, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores.

Arnon Amir, Pallab Datta, William P. Risk, Andrew S. Cassidy, Jeffrey A. Kusnitz, Steven K. Esser, Alexander Andreopoulos, Theodore M. Wong, Myron Flickner, Rodrigo Alvarez-Icaza, Emmett McQuinn, Ben Shaw, Norm Pass, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

On Sensor Bias in Experimental Methods for Comparing Interest-Point, Saliency, and Recognition Algorithms.

Alexander Andreopoulos, John K. Tsotsos

IEEE Trans. Pattern Anal. Mach. Intell., 2012

2011

Active 3D Object Localization Using a Humanoid Robot.

Alexander Andreopoulos, Stephan Hasler, Heiko Wersing, Herbert Janssen, John K. Tsotsos, Edgar Körner

IEEE Trans. Robotics, 2011

2009

A theory of active object localization.

Alexander Andreopoulos, John K. Tsotsos

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI.

Alexander Andreopoulos, John K. Tsotsos

Medical Image Anal., 2008

Active Vision for Door Localization and Door Opening using Playbot: A Computer Controlled Wheelchair for People with Mobility Impairments.

Alexander Andreopoulos, John K. Tsotsos

Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008

2007

Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways.

Alexander Andreopoulos, Bill Andreopoulos, Aijun An, Xiaogang Wang

Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Information Fusion for Multi-camera and Multi-body Structure and Motion.

Alexander Andreopoulos, John K. Tsotsos

Proceedings of the Computer Vision, 2007

2005

A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation.

Alexander Andreopoulos, John K. Tsotsos

Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Resampling 4-D Images Using Adaptive Filtering.

Alexander Andreopoulos, John K. Tsotsos

Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005