Search Results - Ekanadham

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  1. 1
    Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit

    Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit by Ekanadham, C., Tranchina, D., Simoncelli, E. P.

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  2. 2
    A unified framework and method for automatic neural spike identification

    A unified framework and method for automatic neural spike identification by Ekanadham, Chaitanya, Tranchina, Daniel, Simoncelli, Eero P.

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  3. 3
    Towards Perceptually Optimized Adaptive Video Streaming-A Realistic Quality of Experience Database

    Towards Perceptually Optimized Adaptive Video Streaming-A Realistic Quality of Experience Database by Bampis, Christos G., Li, Zhi, Katsavounidis, Ioannis, Huang, Te-Yuan, Ekanadham, Chaitanya, Bovik, Alan C.

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  4. 4
    Storylines of family medicine XII: family medicine and the healthcare system

    Storylines of family medicine XII: family medicine and the healthcare system by Ventres, William B, Stone, Leslie A, South-Paul, Jeannette E, Campbell, Kendall M, Petty, Aerial R, Ekanadham, Hima, Stange, Kurt C, Etz, Rebecca S, Miller, William L, Ferrer, Robert L, Kong, Marianna, Bodenheimer, Thomas, Strasser, Roger, Reece, Sharon C M, Freeman, Joshua, Westfall, John M

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  5. 5
    Efficient Stack Distance Computation for a Class of Priority Replacement Policies

    Efficient Stack Distance Computation for a Class of Priority Replacement Policies by Bilardi, Gianfranco, Ekanadham, Kattamuri, Pattnaik, Pratap

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  6. 6
    Memory Centric Computation (Mc2) for Large-Scale Graph Processing

    Memory Centric Computation (Mc2) for Large-Scale Graph Processing by Ekanadham, Kattamuri, Guojing Cong

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  7. 7
    On Approximating the Ideal Random Access Machine by Physical Machines

    On Approximating the Ideal Random Access Machine by Physical Machines by BILARDI, Gianfranco, EKANADHAM, Kattamuri, PATTNAIK, Pratap

    Published in Journal of the ACM
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  8. 8
    On approximating the ideal random access machine by physical machines

    On approximating the ideal random access machine by physical machines by Bilardi, Gianfranco, Ekanadham, Kattamuri, Pattnaik, Pratap

    Published in Journal of the ACM
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  9. 9
    Is Cosine-Similarity of Embeddings Really About Similarity?

    Is Cosine-Similarity of Embeddings Really About Similarity? by Steck, Harald, Ekanadham, Chaitanya, Kallus, Nathan

    Published in arXiv.org
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  10. 10
    Sparse decomposition of transformation-invariant signals with continuous basis pursuit

    Sparse decomposition of transformation-invariant signals with continuous basis pursuit by Ekanadham, Chaitanya, Tranchina, Daniel, Simoncelli, Eero P.

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  11. 11
    T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System

    T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System by Ekanadham, Chaitanya, Karklin, Yan

    Published in arXiv.org
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  12. 12
    Encrypted Data Processing

    Encrypted Data Processing by Tseng, Jessica, Bilardi, Gianfranco, Ekanadham, Kattamuri, Kumar, Manoj, Moreira, Jose, Pattnaik, P C

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  13. 13
    Subjective Analysis of an End-to-end Streaming System

    Subjective Analysis of an End-to-end Streaming System by Bampis, Christos G, Li, Zhi, Katsavounidis, Ioannis, Ekanadham, Chaitanya, Bovik, Alan C

    Published in Electronic Imaging
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  14. 14
    Incorporating Data Flow Ideas into von Neumann Processors for Parallel Execution

    Incorporating Data Flow Ideas into von Neumann Processors for Parallel Execution by Buehrer, Richard, Ekanadham, Kattamuri

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  15. 15
    Towards Perceptually Optimized End-to-end Adaptive Video Streaming

    Towards Perceptually Optimized End-to-end Adaptive Video Streaming by Bampis, Christos G, Li, Zhi, Katsavounidis, Ioannis, Te-Yuan, Huang, Ekanadham, Chaitanya, Bovik, Alan C

    Published in arXiv.org
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  16. 16
    Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation

    Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation by Wilson, Kevin H, Karklin, Yan, Han, Bojian, Ekanadham, Chaitanya

    Published in arXiv.org
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  17. 17
    Accuracy and speed-up of parallel trace-driven architectural simulation

    Accuracy and speed-up of parallel trace-driven architectural simulation by Nguyen, A.-T., Bose, P., Ekanadham, K., Nanda, A., Michael, M.

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  18. 18
    The Speculative Prefetcher and Evaluator Processor for Pipelined Memory Hierarchies

    The Speculative Prefetcher and Evaluator Processor for Pipelined Memory Hierarchies by Bilardi, G., Ekanadham, K., Pattnaik, P.

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  19. 19
    An address dependence model of computation for hierarchical memories with pipelined transfer

    An address dependence model of computation for hierarchical memories with pipelined transfer by Bilardi, G., Ekanadham, K., Pattnaik, P.

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  20. 20
    Using Dynamic Tracing Sampling to Measure Long Running Programs

    Using Dynamic Tracing Sampling to Measure Long Running Programs by Odom, Jeffrey, Hollingsworth, Jeffrey K., DeRose, Luiz, Ekanadham, Kattamuri, Sbaraglia, Simone

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