Alvaro
  Alvaro Soto
  Associate Professor
  Department of Computer Science
  Pontificia Universidad Católica de Chile
GRIMA
Chile



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   CONTACT:
   asoto@ing.puc.cl
   56-2-354-4440

   
PUBLICATIONS
2012
  • P. Espinace, T. Kollar, N. Roy, and A. Soto. "Indoor Scene Recognition by a Mobile Robot Through Adaptive Object Detection". Submitted to Robotics and Autonomous Sytems.
  • L. Caro, J. Correa, P. Espinace, D. Maturana, R. Mitnik, S. Montabone, S. Pszszólkowski, D. Langdon, A. Araneda, D. Mery, M. Torres, A. Soto. "Indoor Mobile Robotics at Grima, PUC". Journal of Intelligent and Robotic Systems, vol. 66, pp. 151-165, 2012. [PDF] [Bibtex Entry].

2011
  • D. Maturana, D. Mery and A. Soto. "Learning Discriminative Local Binary Patterns for Face Recognition". 9th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2011. [PDF] [Bibtex Entry].
  • D. Mery, I. Lillo, H. Loebel, V. Riffo, A. Soto, A. Cipriano, and J. M. Aguilera. "Automated Fish Bone Detection using X-ray Testing". Journal of Food Engineering, vol. 105, No. 3, pp. 485-492, 2011. [PDF] [Bibtex Entry].
  • K. Pichara and A. Soto, "Active Learning and Subspace Clustering for Anomaly Detection". Intelligent Data Analysis (IDA), vol. 15, No. 2, 2011. [PDF] [Bibtex Entry].
  • B. Peralta and A. Soto, "Mixing Hierarchical Contexts for Object Recognition". Iberoamerican Congress on Pattern Recognition (CIARP), LNCS 7042, pp. 232-239, 2011. [PDF] [Bibtex Entry].

2010
  • J. Correa and A. Soto, "Active visual perception for mobile robot localization". Journal of Intelligent and Robotic Systems, vol. 58, No. 3-4, pp. 339-354, 2010. [PDF] [Journal Version] [Bibtex Entry].
  • S. Montabone and A. Soto, "Human Detection Using a Mobile Platform and Novel Features Derived From a Visual Saliency Mechanism". Image and Vision Computing, vol. 28, No. 3, pp. 391-402, 2010. [PDF] [Journal Version] [Bibtex Entry].
  • P. Espinace, T. Kollar, N. Roy, and A. Soto. "Indoor Scene Recognition Through Object Detection". Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2010. [PDF] [Bibtex Entry].
  • D. Maturana, D. Mery, and A. Soto, "Face Recognition with Decision Tree-based Local Binary Patterns". In Proc. of Asian Conference on Computer Vision (ACCV), 2010.  [PDF] [Bibtex Entry].
  • D. Mery, I. Lillo, H. Loebel, V. Riffo, A. Soto, A. Cipriano, and J.M. Aguilera, "Automated Detection of Fish Bones in Salmon Fillets using X-ray Testing". In Proc. of 4th Pacific- Rim Symposium on Image and Video Technology (PSIVT), 2010.  [PDF] [Bibtex Entry].
  • D. Mery, J. Chanona-Perez, A. Soto, J.M. Aguilera, A. Cipriano, N. Velez-Riverab, I. Arzate-Vazquez, G. Gutierrez–Lopez, "Quality Classification of Corn Tortillas using Computer Vision". Journal of Food Engineering 101(4):357-364, 2010. [PDF] [Bibtex Entry].
 
2009

  • R. Mitnik, M. Recabarren, M. Nussbaum, and A. Soto, "Collaborative Robotic Instruction: A Graph Teaching Experience", Computers & Education, vol. 53 , No. 2, pp. 330-342, 2009. [Journal Version] [Bibtex Entry].

  • P. Cortez–Cargill, C. Undurraga–Rius, D. Mery, and A. Soto, “Performance Evaluation of the Covariance Descriptor for Target Detection”. Proc. of XXVIII Int. Conf. of the Chilean Computer Science Society/IEEE CS Press, 2009. [PDF] [Bibtex Entry].

  • T. Puelma, A. Soto, and R. Gutierrez, “An ensemble of Discriminative Local Subspaces in Microarray Data for Gene Ontology Annotation Predictions”. Proc. of 1st Chilean Workshop on Pattern Recognition (CWPR), pp. 52-61, 2009. [PDF] [Bibtex Entry].

  • D. Maturana, D. Mery, and a. Soto, “Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor classification”. Proc. of XXVIII Int. Conf. of the Chilean Computer Science Society/IEEE CS Press, 2009. [PDF] [Bibtex Entry].

 2008
  • R. Mitnik, M. Nussbaum, and A. Soto, "An autonomous educational mobile robot mediator". Autonomous Robots, vol. 25, No. 4, pp 367-382, 2008. [PDF] [Journal Version] [Bibtex Entry].

  • K. Pichara, A. Soto, and A. Araneda, "Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions". Advances in Artificial Intelligence, Iberamia-08, LNCS 5290, pp. 163-172, 2008. [PDF] [Bibtex Entry]. Best Student Paper Award.

  • P. Espinace, D. Langdon, and A. Soto, "Unsupervised Identification of Useful Visual Landmarks Using Multiple Segmentations and Top-Down Feedback". Robotics and Autonomous Systems, vol. 56, No. 6, pp. 538-548, 2008. [PDF] [Journal Version] [Bibtex Entry]

  • A. Cansado and A. Soto, “Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks”. Applied Artificial Intelligence, vol. 22, No. 4, pp. 309 – 330, 2008. [PDF] [Journal Version] [Bibtex Entry].

  • P. Espinace, A. Soto, and M. Torres-Torriti, "Real-Time Robot Localization In Indoor Environments Using Structural Information". IEEE Latin American Robotics Symposium (LARS), 2008. [PDF] [Bibtex Entry].

  • P. Espinace and A. Soto, "Improving the Selection and Detection of Visual Landmarks Through Object Tracking". IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Workshop on Visual Localization for Mobile Platforms, 2008. [PDF] [Bibtex Entry].

  • S. Pszczolkowski and A. Soto, “Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot”. Iberoamerican Congress on Pattern Recognition (CIARP), LNCS 4756, pp. 350-359, 2008. [PDF] [Bibtex Entry].

 
  2007

  • A. Araneda, S. Fienberg, and A. Soto, "A Statistical approach to simultaneous mapping and localization for mobile robots". Annals of Applied Statistics, vol. 1, No. 1, pp. 66-84, 2007. [PDF] [Journal Version] [Bibtex Entry].

  • Urtubia, J. R. Pérez-Correa, A. Soto, and P. Pszczólkowski "Using Data Mining Techniques to Predict Industrial Wine Problem Fermentations". Food Control, vol. 18, No. 12, pp. 1512–1517, 2007. [PDF] [Journal Version] [Bibtex Entry].

  • A. Soto, F. Zavala, and A. Araneda. “An Accelerated Algorithm for Density Estimation in Large Databases, Using Gaussian Mixtures”. Cybernetics and Systems, vol. 38, No. 2, pp. 123-139, 2007. [PDF] [Journal Version] [Bibtex Entry].

  • J.M. Aguilera, A. Cipriano, M. Eraña, I. Lillo, D. Mery, A. Soto, and C. Valdivieso, "Computer Vision for Quality Control in Latin American Food Industry, A Case Study". Int. Conf. on Computer Vision (ICCV): Workshop on Computer Vision Applications for Developing Countries, 2007. [PDF] [Bibtex Entry].
 
  2006

  • D. Langdon, A. Soto, and D. Mery, “Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations”. Lecture Notes in Computer Science, LNCS 4319, pp. 601-610, 2006. [PDF] [Bibtex Entry].

  • A. Soto, P. Espinace, and R. Mitnik, “A Mobile Robotics Course for Undergraduate Students in Computer Science”. IEEE Latin American Robotics Symposium, LARS-06, pp. 187-192, 2006. [PDF] [Bibtex Entry].

 
  2005

  • A. Araneda and A. Soto, “Important Sampling in Mapping and Localization by a Mobile Robot”. Workshop on Case Studies of Bayesian Statistics, USA, 2005. [PDF] [Bibtex Entry].

  • A. Soto, “Self Adaptive Particle Filter”. Proceedings of International Join Conference on Artificial Intelligence (IJCAI 2005). [PDF] [Bibtex Entry].

 
  2004

  • A. Araneda and A. Soto, “Statistical Inference in Mapping and Localization for Mobile Robots”. Advances in Artificial Intelligence, Iberamia-04, LNAI 3315, pp. 545-554, 2004. [PDF] [Bibtex Entry].

  • R. Mitnik, M. Nussbaum, and A. Soto, “Mobile Robotic Supported Collaborative Learning (MRSCL)”. Advances in Artificial Intelligence, Iberamia-04, LNAI 3315, pp. 912-921, 2004. [PDF] [Bibtex Entry].

  • A. Soto, A.Cansado, and F. Zavala, “Detection of Rare Objects in Massive Astrophysical Data Sets Using Innovative Knowledge Discovery Technology”. Astronomical Data Analysis Software & Systems Conf. Series, ADASS 2004. [PDF] [Bibtex Entry].

  • A. Soto, “A Method to Adaptively Propagate the Set of Samples Used by Particle Filters”. Lectures Notes in Artificial Intelligence, LNAI 3040, pp. 47-56, 2004. [PDF] [Bibtex Entry].

 
  2003

  • A. Soto and P. Khosla, “Sequential Monte Carlo Methods for the Creation of Adaptive Software”. 3th Int. Workshop on Self-adaptive Software, Arlington, Va, USA, June, 2003. [PDF] [Bibtex Entry].

  • A. Soto and P. Khosla, “A Probabilistic Approach for Dynamic State Estimation Using Visual Information”. Lectures Notes in Artificial Intelligence, Springer-Verlag LNCS 2821, pp. 421-435, 2003. [PDF] [Bibtex Entry].

  • A. Soto and P. Khosla, “Adaptive Agent Based System for State Estimation Using Dynamic Multidimentional Information Sources”. Lectures Notes in Computer Science, LNCS 2614, pp. 66-83, 2003. [PDF] [Bibtex Entry].

  • A. Soto and P. Khosla, “Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues”. Springer Tracts in Advanced Robotics (STAR), vol. 6, 559-572, 2003. [PDF] [Bibtex Entry].


 2002 - 

  • A. Soto, “A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework”. PhD. Thesis, Robotics Institute, School of Computer Science, Carnegie Mellon University, Tech Report CMU-RI-TR-02-30, September 2002. [PDF] [Bibtex Entry].

  • M. Saptharishi, K. Bhat, C. Diehl, S. Oliver, M. Savvides, A. Soto, J. Dolan, and P. Khosla, “Recent Advances in Distributed Tactical Surveillance”. SPIE on Unattended Ground Sensor Technologies and Applications, Aerosense 2000, Orlando, Florida, USA, April 2000. [Bibtex Entry].

  • A. Soto, M. Saptharishi, J. Dolan, A. Trebi-Ollennu, and P. Khosla, “CyberATVs: Dynamic and Distributed Reconnaissance and Surveillance Using All Terrain UGVs”. Proceedings of the International Conference on Field and Service Robotics, Pittsburgh, Pennsylvania, USA, August, 1999. [PDF] [Bibtex Entry].

  • I. Nourbakhsh, J. Bobenage, S. Grange, R. Lutz, R. Meyer and A. Soto, “An Effective Mobile Robot Educator with a Full-Time Job”. Artificial Intelligence, 114 (1-2), pp. 95-124. October 1999. [Journal Version] [Bibtex Entry].

  • J. Dolan, A. Trebi-Ollennu, A. Soto, and P. Khosla, “Distributed Tactical Surveillance with ATVs”. Proceedings of SPIE, Vol. 3693, AeroSense, Orlando, Florida, USA, April, 1999. [Bibtex Entry].

  • A. Soto and I. Nourbakhsh, “A Scenario for Planning Visual Navigation of a Mobile Robot”. American Association for Artificial Intelligence (AAAI), 1998 Fall Symposium Series, Orlando, Florida, USA, October, 1998. [PDF] [Bibtex Entry].

  • A. Cipriano, M. Guarini, R. Vidal, A. Soto, C. Sepúlveda, D. Mery, H. Briseño, “A Real Time Visual Sensor for Supervision of Flotations Cells”. Minerals Engineering, 11(6):489-499, 1998. [Bibtex Entry].

  • A. Cipriano, M. Guarini, A. Soto, H. Briseño, D. Mery, “Expert supervision of flotation cells using digital image processing”. In Proceedings of the 20th International Mineral Processing Congress, pp.281-292, Aachen, Germany, September 21-26, 1997. [Bibtex Entry].

  • A. Soto and A. Cipriano, “Image processing applied to real time measurement of traffic flow”. Proceedings of the 28th Southeastern Symposium on System Theory, Baton Rouge, Louisiana, USA, April, 1996. [Bibtex Entry].

  • M. Guarini, A. Soto, A. Cipriano, A. Guesalaga, and J. Caceres, “Measurement of physical characteristics of foam in flotation cells”. Proceedings of the International Conference: Copper 95, Santiago, Chile, November, 1995. [Bibtex Entry].