Peter Torrione

Image of Peter Torrione

Assistant Research Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations
  • Assistant Research Professor in the Department of Electrical and Computer Engineering
Contact Information:
Education:

  • Ph.D. Duke University, 2008

Research Interests:

Statistical signal processing, machine learning, pattern recognition with a focus on remote sensing, and buried threat detection

Specialties:

Signal Processing

Courses Taught:

    Representative Publications: (More Publications)
      • Torrione, PA; Morton, KD; Sakaguchi, R; Collins, LM, Histograms of oriented gradients for landmine detection in ground-penetrating radar data, IEEE Transactions on Geoscience and Remote Sensing, vol 52 no. 3 (2014), pp. 1539-1550 [10.1109/TGRS.2013.2252016] [abs].
      • Ratto, CR; Jr, KDM; Collins, LM; Torrione, PA, Bayesian context-dependent learning for anomaly classification in hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol 52 no. 4 (2014), pp. 1969-1981 [10.1109/TGRS.2013.2257175] [abs].
      • Ratto, CR; Morton, KD; Collins, LM; Torrione, PA, Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing (2013) [10.1109/TGRS.2013.2257175] [abs].
      • Manandhar, A; Jr, KDM; Collins, LM; Torrione, PA, Multiple instance hidden markov models for GPR-based landmine detection, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016401] [abs].
      • Sakaguchi, RT; Jr, KDM; Collins, LM; Torrione, PA, Application of image categorization methods for buried threat detection in GPR data, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016709] [abs].