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ORCIDJustin Ziniel
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2010 – 2019
- 2015
[j3]Justin Ziniel, Philip Schniter
, Per Sederberg:
Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. IEEE Trans. Signal Process. 63(8): 2020-2032 (2015)- 2014
- [c4]Justin Ziniel, Philip Schniter, Per Sederberg:
Binary linear classification and feature selection via generalized approximate message passing. CISS 2014: 1-6 - [i3]Justin Ziniel, Philip Schniter:
Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing. CoRR abs/1401.0872 (2014) - 2013
- [j2]Justin Ziniel, Philip Schniter:
Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem. IEEE Trans. Signal Process. 61(2): 340-354 (2013) - [j1]Justin Ziniel, Philip Schniter:
Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing. IEEE Trans. Signal Process. 61(21): 5270-5284 (2013) - 2012
- [c3]Justin Ziniel, Sundeep Rangan, Philip Schniter:
A generalized framework for learning and recovery of structured sparse signals. SSP 2012: 325-328 - [i2]Justin Ziniel, Philip Schniter:
Dynamic Compressive Sensing of Time-Varying Signals via Approximate Message Passing. CoRR abs/1205.4080 (2012) - 2011
- [c2]Justin Ziniel, Philip Schniter:
Efficient message passing-based inference in the multiple measurement vector problem. ACSCC 2011: 1447-1451 - [i1]Justin Ziniel, Philip Schniter:
Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem. CoRR abs/1111.5272 (2011)
2000 – 2009
- 2008
- [c1]Lee C. Potter, Philip Schniter, Justin Ziniel:
A fast posterior update for sparse underdetermined linear models. ACSCC 2008: 838-842
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