Matthew Cotter

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 3

Top Topics

Cognitive Vision

Top Venues

IEEE Trans. Multi Scale Comput. Syst.

Publications

Allison Doren, Aleksandra Markina-Khusid, Matthew Cotter, Cynthia Dominguez
A Practitioner's Guide to Optimizing the Interactions Between Modelers and Domain Experts. SysCon (2019)
Judith Dahmann, Aleksandra Markina-Khusid, Allison Doren, Thomas Wheeler, Matthew Cotter, Mike Kelley
SysML executable systems of system architecture definition: A working example. SysCon (2017)
Wei-Yu Tsai, Xueqing Li, Matthew Jerry, Baihua Xie, Nikhil Shukla, Huichu Liu, Nandhini Chandramoorthy, Matthew Cotter, Arijit Raychowdhury, Donald M. Chiarulli, Steven P. Levitan, Suman Datta, John Sampson, Nagarajan Ranganathan, Vijaykrishnan Narayanan
Enabling New Computation Paradigms with HyperFET - An Emerging Device. IEEE Trans. Multi Scale Comput. Syst. 2 (1) (2016)
Nandhini Chandramoorthy, Giuseppe Tagliavini, Kevin M. Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan, Luca Benini
Exploring architectural heterogeneity in intelligent vision systems. HPCA (2015)
Siddharth Advani, Brigid Smith, Yasuki Tanabe, Kevin M. Irick, Matthew Cotter, Jack Sampson, Vijaykrishnan Narayanan
Visual co-occurrence network: using context for large-scale object recognition in retail. ESTIMedia (2015)
Matthew Cotter, Siddharth Advani, Jack Sampson, Kevin M. Irick, Vijaykrishnan Narayanan
A hardware accelerated multilevel visual classifier for embedded visual-assist systems. ICCAD (2014)
Nandhini Chandramoorthy, Karthik Swaminathan, Matthew Cotter, Xueqing Li, Indranil Palit, Xiaobo Sharon Hu, Michael T. Niemier, Kevin M. Irick
Understanding the landscape of accelerators for vision. SiPS (2014)
Suman Datta, Nikhil Shukla, Matthew Cotter, Abhinav Parihar, Arijit Raychowdhury
Neuro Inspired Computing with Coupled Relaxation Oscillators. DAC (2014)
Ahmed Al-Maashri, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Chi-Li Yu, Vijaykrishnan Narayanan, Chaitali Chakrabarti
Hardware Acceleration for Neuromorphic Vision Algorithms. J. Signal Process. Syst. 70 (2) (2013)
Ravindhiran Mukundrajan, Matthew Cotter, Sungmin Bae, Vinay Saripalli, Mary Jane Irwin, Suman Datta, Vijaykrishnan Narayanan
Design of energy-efficient circuits and systems using tunnel field effect transistors. IET Circuits Devices Syst. 7 (5) (2013)
Matthew Cotter, Huichu Liu, Suman Datta, Vijaykrishnan Narayanan
Evaluation of tunnel FET-based flip-flop designs for low power, high performance applications. ISQED (2013)
Ravindhiran Mukundrajan, Matthew Cotter, Vinay Saripalli, Mary Jane Irwin, Suman Datta, Vijaykrishnan Narayanan
Ultra Low Power Circuit Design Using Tunnel FETs. ISVLSI (2012)
Ahmed Al-Maashri, Michael DeBole, Matthew Cotter, Nandhini Chandramoorthy, Yang Xiao, Vijaykrishnan Narayanan, Chaitali Chakrabarti
Accelerating neuromorphic vision algorithms for recognition. DAC (2012)
Sungho Park, Ahmed Al-Maashri, Kevin M. Irick, Aarti Chandrashekhar, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Vijaykrishnan Narayanan
System-On-Chip for Biologically Inspired Vision Applications. Inf. Media Technol. 7 (4) (2012)
Sungho Park, Ahmed Al-Maashri, Kevin M. Irick, Aarti Chandrashekhar, Matthew Cotter, Nandhini Chandramoorthy, Michael DeBole, Vijaykrishnan Narayanan
System-On-Chip for Biologically Inspired Vision Applications. IPSJ Trans. Syst. LSI Des. Methodol. 5 (2012)
Michael DeBole, Ahmed Al-Maashri, Matthew Cotter, Chi-Li Yu, Chaitali Chakrabarti, Vijaykrishnan Narayanan
A framework for accelerating neuromorphic-vision algorithms on FPGAs. ICCAD (2011)
Michael DeBole, Yang Xiao, Chi-Li Yu, Ahmed Al-Maashri, Matthew Cotter, Chaitali Chakrabarti, Vijaykrishnan Narayanan
FPGA-accelerator system for computing biologically inspired feature extraction models. ACSCC (2011)