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Alexander Andreopoulos
Alexander Andreopoulos
Senior Research Scientist, IBM Research - Almaden
Dirección de correo verificada de us.ibm.com - Página principal
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Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ...
The Proceedings of the National Academy of Sciences (PNAS) 113 (41), 11441-11446, 2016
1244*2016
A low power, fully event-based gesture recognition system
A Amir, B Taba, D Berg, T Melano, J McKinstry, C Di Nolfo, T Nayak, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
10212017
50 years of object recognition: Directions forward
A Andreopoulos, JK Tsotsos
Computer vision and image understanding 117 (8), 827-891, 2013
4602013
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI
A Andreopoulos, JK Tsotsos
Medical image analysis 12 (3), 335-357, 2008
3952008
TrueNorth: Accelerating from zero to 64 million neurons in 10 years
MV DeBole, B Taba, A Amir, F Akopyan, A Andreopoulos, WP Risk, ...
Computer 52 (5), 20-29, 2019
2572019
Cognitive computing programming paradigm: a corelet language for composing networks of neurosynaptic cores
A Amir, P Datta, WP Risk, AS Cassidy, JA Kusnitz, SK Esser, ...
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013
2142013
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
SK Esser, A Andreopoulos, R Appuswamy, P Datta, D Barch, A Amir, ...
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013
2042013
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
J Sawada, F Akopyan, AS Cassidy, B Taba, MV Debole, P Datta, ...
SC'16: Proceedings of the International Conference for High Performance …, 2016
1062016
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
AS Cassidy, R Alvarez-Icaza, F Akopyan, J Sawada, JV Arthur, ...
SC'14: Proceedings of the International Conference for High Performance …, 2014
1002014
From the cover: Convolutional networks for fast, energy-efficient neuromorphic computing
SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ...
Proceedings of the National Academy of Sciences of the United States of …, 2016
752016
Active 3D object localization using a humanoid robot
A Andreopoulos, S Hasler, H Wersing, H Janssen, JK Tsotsos, E Korner
IEEE Transactions on Robotics 27 (1), 47-64, 2010
752010
A low power, high throughput, fully event-based stereo system
A Andreopoulos, HJ Kashyap, TK Nayak, A Amir, MD Flickner
Proceedings of the IEEE conference on computer vision and pattern …, 2018
712018
Extracting salient features from video using a neurosynaptic system
A Andreopoulos, SK Esser, DS Modha
US Patent 9,195,903, 2015
672015
Neural inference at the frontier of energy, space, and time
DS Modha, F Akopyan, A Andreopoulos, R Appuswamy, JV Arthur, ...
Science 382 (6668), 329-335, 2023
602023
A computational learning theory of active object recognition under uncertainty
A Andreopoulos, JK Tsotsos
International journal of computer vision 101, 95-142, 2013
482013
On sensor bias in experimental methods for comparing interest-point, saliency, and recognition algorithms
A Andreopoulos, JK Tsotsos
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1), 110-126, 2011
402011
Active vision for door localization and door opening using playbot: A computer controlled wheelchair for people with mobility impairments
A Andreopoulos, JK Tsotsos
2008 Canadian Conference on Computer and Robot Vision, 3-10, 2008
402008
Always-on speech recognition using truenorth, a reconfigurable, neurosynaptic processor
WY Tsai, DR Barch, AS Cassidy, MV DeBole, A Andreopoulos, ...
IEEE Transactions on Computers 66 (6), 996-1007, 2016
382016
A theory of active object localization
A Andreopoulos, JK Tsotsos
2009 IEEE 12th International Conference on Computer Vision, 903-910, 2009
322009
Scene understanding using a neurosynaptic system
A Andreopoulos, R Appuswamy, P Datta, SK Esser, DS Modha
US Patent 9,373,058, 2016
312016
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Artículos 1–20