Richard W. Linderman

Publication Activity (10 Years)

Years Active: 1984-2018
Publications (10 Years): 2

Top Topics

Detect Anomalies

Network Security

Anomaly Detection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Computers

Publications

Qiuwen Chen, Ryan S. Luley, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu
AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Qiuwen Chen, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu
Self-structured confabulation network for fast anomaly detection and reasoning. IJCNN (2015)
Miao Hu, Hai Li, Yiran Chen, Qing Wu, Garrett S. Rose, Richard W. Linderman
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
Qinru Qiu, Qing Wu, Morgan Bishop, Robinson E. Pino, Richard W. Linderman
A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster. IEEE Trans. Computers 62 (5) (2013)
Qinru Qiu, Qing Wu, Daniel J. Burns, Michael J. Moore, Robinson E. Pino, Morgan Bishop, Richard W. Linderman
Confabulation based sentence completion for machine reading. CCMB (2011)
Kannappan Palaniappan, Ilker Ersoy, Guna Seetharaman, Shelby R. Davis, Praveen Kumar, Raghuveer M. Rao, Richard W. Linderman
Parallel flux tensor analysis for efficient moving object detection. FUSION (2011)
Qinru Qiu, Qing Wu, Richard W. Linderman
Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. IJCNN (2011)
Michael J. Moore, Richard W. Linderman, Morgan Bishop, Robinson E. Pino
A columnar primary visual cortex (V1) model emulation using a PS3 Cell-BE array. IJCNN (2010)
Richard W. Linderman
GPGPU role within a 500 TFLOPS heterogeneous cluster. GPGPU (2010)
Tarek M. Taha, Pavan Yalamanchili, Mohammad Ashraf Bhuiyan, Rommel Jalasutram, Chong Chen, Richard W. Linderman
Neuromorphic algorithms on clusters of PlayStation 3s. IJCNN (2010)
Morgan Bishop, Michael J. Moore, Daniel J. Burns, Robinson E. Pino, Richard W. Linderman
Affordable emerging computer hardware for neuromorphic computing applications. IJCNN (2010)
Robinson E. Pino, Gerard Genello, Morgan Bishop, Michael J. Moore, Richard W. Linderman
Emerging neuromorphic computing architectures & enabling hardware for cognitive information processing applications. CIP (2010)
Scott E. Spetka, George O. Ramseyer, Richard W. Linderman
Fault tolerant integrated information management support for physically constrained iterative deconvolution. AIPR (2008)
Scott E. Spetka, Susan Emeny, George O. Ramseyer, Richard W. Linderman
Using metrics to optimize a high performance intelligent image processing code. PerMIS (2008)
Qing Wu, Prakash Mukre, Richard W. Linderman, Thomas Renz, Daniel J. Burns, Michael J. Moore, Qinru Qiu
Performance optimization for pattern recognition using associative neural memory. ICME (2008)
Qinru Qiu, Daniel J. Burns, Michael J. Moore, Richard W. Linderman, Thomas Renz, Qing Wu
Accelerating cogent confabulation: An exploration in the architecture design space. IJCNN (2008)
Scott E. Spetka, Scot Tucker, George O. Ramseyer, Richard W. Linderman
Information management for high performance autonomous intelligent systems. PerMIS (2007)
Scott E. Spetka, Scot Tucker, George O. Ramseyer, Richard W. Linderman
Imagery Pattern Recognition and Pub/Sub Information Management. AIPR (2007)
Qing Wu, Qinru Qiu, Richard W. Linderman, Daniel J. Burns, Michael J. Moore, Dennis Fitzgerald
Architectural Design and Complexity Analysis of Large-Scale Cortical Simulation on a Hybrid Computing Platform. CISDA (2007)
Ben Cordes, Miriam Leeser, Eric L. Miller, Richard W. Linderman
Poster reception - Improving the performance of parallel backprojection on a reconfigurable supercomputer. SC (2006)
Nael B. Abu-Ghazaleh, Richard W. Linderman
Limiting Optimism: Time or Event Count? DS-RT (2006)
Scott E. Spetka, George O. Ramseyer, Richard W. Linderman
Application Development Framework for the Rapid Integration of High Performance Image Processing Algorithms. AIPR (2006)
Scott E. Spetka, George O. Ramseyer, Richard W. Linderman
Using globus grid objects to extend a corba-based object-oriented system. OOPSLA Companion (2005)
Scott E. Spetka, George O. Ramseyer, Richard W. Linderman
Redeveloping a high-Performance computing framework. OOPSLA Companion (2003)
Scott E. Spetka, George O. Ramseyer, Richard W. Linderman
A FrameWork for high-performance image exploitation. OOPSLA Companion (2002)
Alok N. Choudhary, Wei-keng Liao, Donald D. Weiner, Pramod K. Varshney, Richard W. Linderman, Mark H. Linderman, Russell D. Brown
Design, implementation and evaluation of parallel pipelined STAP on parallel computers. IEEE Trans. Aerosp. Electron. Syst. 36 (2) (2000)
Richard W. Linderman, Ralph L. R. Kohler, Mark H. Linderman
A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing. IEEE Trans. Computers 47 (1) (1998)
Alok N. Choudhary, Wei-keng Liao, Donald D. Weiner, Pramod K. Varshney, Richard W. Linderman, Mark H. Linderman
Design, Implementation and Evaluation of Parallel Pipelined STAP on Parallel Computers. IPPS/SPDP (1998)
Richard W. Linderman, Paul C. Rossbach, David M. Gallagher
Design and application of an optimizing XROM silicon compiler. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 8 (12) (1989)
Richard W. Linderman, Walter H. Ku
A three dimensional systolic array architecture for fast matrix multiplication. ICASSP (1984)
Richard W. Linderman, Peter P. Reusens, Paul M. Chau, Walter H. Ku
Digital signal processing capabilities of CUSP, a high performance bit-serial VLSI processor. ICASSP (1984)