Oregon State University
Search Menu
  • All of OSU
  • selectedSchool of Electrical Engineering & Computer Science



Home ›

Raviv Raich

Assistant Professor
Electrical & Computer Engineering
Web Page: 
http://eecs.oregonstate.edu/~raich
Learn more about Raviv Raich
Biography: 

Raviv Raich joined the faculty in the School of Electrical Engineering and Computer Science at Oregon State University in Fall 2007. Raviv Raich received the B.Sc. and M.Sc. degrees in electrical engineering from Tel-Aviv University, Tel-Aviv, Israel, in 1994 and 1998, respectively and the Ph.D. degree in electrical engineering from Georgia Institute of Technology, Atlanta, Georgia, in 2004. Between 1999 and 2000, he worked as a researcher with the communications team, Industrial Research Ltd., Wellington, New Zealand.

Most recently, he wa s a postdoctoral research fellow at the University of Michigan, Ann Arbor, Michigan. His main research interest is in statistical signal processing with specific focus on manifold learning, sparse signal reconstruction, and adaptive sensing. Other research interests lie in the area of statistical signal processing for communications, estimation and detection theory.

Research group: 
AI - Machine Learning - Algorithms
Research Interests: 
  1. Adaptive Sensing/Sampling. In the classical setting, a measurement setup remains fixed throughout the process of data acquisition. In adaptive sensing, at every time step, the measurement setup is altered based on past measurements to overall maximize the information of interest. Some of the active areas of application of this concept appear in mine detection, see through the wall, SAR imaging, and target tracking.
  2. Manifold Learning. Manifolds offer the capability to describe high dimensional data using a low dimensional representation. Dimensionality reduction of high-dimensional data that lies on a manifold allows visualization of the data, reduction in computational complexity of data processing, and the capability of intrinsic data processing. Areas of application include: medical diagnosis, target recognition, analysis of internet data, and sensor networks.
  3. Sparse Representations for Signal Processing. We are interested in investigating data that is sparse according to some basis or dictionary. In other words, the data can be represented using only a small number of basis/dictionary elements. Image compression methods, which are based on vector quantization, demonstrate that an image can be represented in a sparse fashion through fixed bases, e.g., discrete cosine transform (DCT) and wavelets. Areas of application include: electromagnetic imaging, molecular imaging, and sensor/waveform selection.
Teaching: 
ECE 352 SIGNALS AND SYSTEMS II
ECE 353 INTRO TO PROB & RANDOM SIGNALS

Publications

2010
Behmardi, B., and R. Raich, Isometric Correction for Manifold Learning, , 11/2010. Abstract
Lakshminarayanan, B., and R. Raich, "Non-negative matrix factorization for parameter estimation in hidden Markov models", 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Kittila, Finland, IEEE, pp. 89 - 94, 08/2010. Abstract
Sricharan, K., R. Raich, and A. O. Hero, III, "Optimized intrinsic dimension estimator using nearest neighbor graphs", 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, TX, IEEE, pp. 5418 - 5421, 03/2010. Abstract
Carter, K. M., R. Raich, and A. O. Hero, III, "On Local Intrinsic Dimension Estimation and Its Applications", IEEE Transactions on Signal Processing, vol. 58, issue 2, pp. 650 - 663, 02/2010. Abstract
2009
Briggs, F., R. Raich, and X. Fern, "Audio Classification of Bird Species: A Statistical Manifold Approach", 2009 Ninth IEEE International Conference on Data Mining (ICDM), Miami Beach, FL, IEEE, pp. 51 - 60, 12/2009. Abstract
Lakshminarayanan, B., R. Raich, and X. Fern, "A Syllable-Level Probabilistic Framework for Bird Species Identification", 2009 International Conference on Machine Learning and Applications (ICMLA)2009 International Conference on Machine Learning and Applications, Miami, FL, IEEE, pp. 53 - 59, 12/2009. Abstract
Carter, K. M., R. Raich, W. G. Finn, and A. O. Hero, III, "FINE: Fisher Information Nonparametric Embedding", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, issue 11, pp. 2093 - 2098, 11/2009. Abstract
Thangavelu, M., and R. Raich, "On linear dimension reduction for multiclass classification of Gaussian mixtures", 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Grenoble, France, IEEE, pp. 1 - 6, 09/2009. Abstract
Sricharan, K., R. Raich, and A. O. Hero, III, "Global performance prediction for divergence-based image registration criteria", 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP), Cardiff, United Kingdom, IEEE, pp. 654 - 657, 08/2009. Abstract
Tran, T., T. Nguyen, and R. Raich, "On Achievable Throughput Region of Prioritized Transmissions Via Network Coding", 2009 Proceedings of 18th International Conference on Computer Communications and Networks - ICCCN 2009, San Francisco, CA, IEEE, pp. 1 - 6, 08/2009. Abstract
Raich, R., and A. O. Hero, III, "Spherical Laplacian Information Maps (SLIM) for dimensionality reduction tau]1|Kevin M. ^Carter", 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP), Cardiff, United Kingdom, IEEE, pp. 405 - 408, 08/2009. Abstract
Ting, M., R. Raich, and A. O. Hero, III, "Sparse Image Reconstruction for Molecular Imaging", IEEE Transactions on Image Processing, vol. 18, issue 6, pp. 1215 - 1227, 06/2009. Abstract
Carter, K. M., R. Raich, and A. O. Hero, III, "An information geometric approach to supervised dimensionality reduction", ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, IEEE, pp. 1829 - 1832, 04/2009. Abstract
Finn, W. G., K. M. Carter, R. Raich, A. Harrington, S. H. Kroft, and A. O. Hero, III, "Flow cytometric evaluation of reactive and dysplastic granulocyte maturation by a novel method of high dimensional data analysis", United States and Canadian Academy of Pathology 2009 Annual Meeting, Boston, MA, 03/2009. Abstract
Carter, K. M., R. Raich, W. G. Finn, and A. O. Hero, III, "Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis", IEEE Journal of Selected Topics in Signal Processing, vol. 3, issue 1, pp. 148 - 158, 02/2009. Abstract
Finn, W. G., K. M. Carter, R. Raich, L. M. Stoolman, and A. O. Hero, III, "Analysis of clinical flow cytometric immunophenotyping data by clustering on statistical manifolds: Treating flow cytometry data as high-dimensional objects", Cytometry Part B: Clinical Cytometry, vol. 76B, issue 1, pp. 1 - 7, 01/2009. Abstract
Carter, K. M., C. K. -min Kim, R. Raich, and A. O. Hero, III, "Information Preserving Embeddings for Discrimination", 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, Marco Island, FL, IEEE, pp. 381 - 386, 01/2009. Abstract
2008
Mody, A. N., R. Raich, and G. L. Stuber, "Joint iterative parameter estimation from the Cramér-Rao lower bound for an OFDM system", MILCOM 2008 - IEEE Military Communications Conference, San Diego, CA, IEEE, pp. 1 - 7, 11/2008. Abstract
Bashan, E., R. Raich, and A. O. Hero, III, "Optimal Two-Stage Search for Sparse Targets Using Convex Criteria", IEEE Transactions on Signal Processing, vol. 56, issue 11, pp. 5389 - 5402, 11/2008. Abstract
Carter, K. M., R. Raich, W. G. Finn, and A. O. Hero, III, "Dimensionality reduction of flow cytometric data through information preservation", 2008 IEEE Workshop on Machine Learning for Signal Processing (MLSP) (Formerly known as NNSP), Cancun, Mexico, IEEE, pp. 462 - 467, 10/2008. Abstract
Thangavelu, M., and R. Raich, "Multiclass linear dimension reduction via a generalized Chernoff bound", 2008 IEEE Workshop on Machine Learning for Signal Processing (MLSP) (Formerly known as NNSP), Cancun, Mexico, IEEE, pp. 350 - 355, 10/2008. Abstract
Bagci, H., R. Raich, A. O. Hero, III, and E. Michielssen, "Sparsity-regularized Born iterations for electromagnetic inverse scattering", 2008 IEEE Antennas and Propagation Society International Symposium, San Diego, CA, IEEE, pp. 1 - 4, 07/2008. Abstract
Herrity, K., R. Raich, and A. O. Hero, III, "Blind deconvolution for sparse molecular imaging", ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, IEEE, pp. 545 - 548, 03/2008. Abstract
Rangarajan, R., R. Raich, and A. O. Hero, III, "Euclidean matrix completion problems in tracking and geo-localization", ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, IEEE, pp. 5324 - 5327, 03/2008. Abstract
Carter, K. M., R. Raich, and A. O. Hero, III, "Fine: Information embedding for document classification", ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, IEEE, pp. 1861 - 1864, 03/2008. Abstract

Contact Info

Oregon State University
1148 Kelley Engineering Center
Corvallis, OR 97331-5501
Phone: (541) 737-3617
Fax: (541) 737-1300
Contact us with your comments and questions
Copyright ©  2012 Oregon State University
Disclaimer