Search Results - Ekanadham, Chaitanya

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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
    Is Cosine-Similarity of Embeddings Really About Similarity?

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

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  5. 5
    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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  6. 6
    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

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  7. 7
    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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  8. 8
    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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  9. 9
    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

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