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[ALL] [MACHINE LEARNING] [MICROPHONE ARRAY] [SPATIAL AUDIO]
A fast algorithm for learning a ranking function from large scale data sets Vikas C. Raykar, Ramani Duraiswami, and Balaji Krishnapuram, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 7, pp. 1158-1170, July 2008. [paper]
Position Calibration of Microphones and Loudspeakers in Distributed Computing
Platforms Vikas C. Raykar, Igor Kozintsev, and Rainer Lienhart,
IEEE Transactions on Speech and Audio Processing, Volume 13, Issue 1, pp. 70-83,
Jan. 2005.
Extracting the frequencies of the pinna spectral notches in measured head
related impulse responses Vikas C. Raykar, Ramani Duraiswami, and
B. Yegnanarayana, The Journal of the Acoustical Society of America, Volume 118,
Issue 1, pp. 364-374, July 2005.
[A more detailed
version available as
CS-TR-4609]
Speaker Localization using excitation source information
in speech Vikas C. Raykar, B.Yegnanarayana,
S. R. Mahadeva Prasanna, and Ramani Duraiswami, IEEE Transactions on Speech and
Audio Processing, Volume 13, Issue 5, Part 2, pp. 751-761, Sep. 2005.
The Improved Fast Gauss Transform with applications to machine learning Vikas C. Raykar, and Ramani Duraiswami, To appear in Large Scale Kernel Machines L. Bottou, O. Chapelle, D. Decoste, and J. Weston (Eds), MIT Press 2006. [chapter]
Multimodal tracking for smart videoconferencing and video surveillance Dmitry Zotkin, Vikas C. Raykar, Ramani Duraiswami and Larry S. Davis. In Multimodal Surveillance: Sensors, Algorithms, and Systems, ed. by Zhihang Zhu and Thomas S. Huang, Artech House Publishers, Norwood, MA, 2007, pp. 141-175.
Providing Common Time and Space in Distributed AV-Sensor Networks by
Self-Calibration
R. Lienhart, I. Kozintsev, D. Budnikov, I. Chikalov, and V. C. Raykar
in Intelligent Multimedia Processing with Soft
Computing
Series: Studies in Fuzziness
and Soft Computing, Vol. 168
Tan, Yap-Peng; Yap, Kim H.; Wang, Lipo (Eds.)
2005.
Multiple instance learning improves CAD detection of masses in digital mammography Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna stainvas, Menahem Abramov, and Alexandra Manevitch, International Workshop on Digital Mammography (IWDM), Tucson, AZ, July 2008. [paper] [slides] [bib] [oral presentation]
Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, and R. Bharat Rao, In Proceedings of the 25th International Conference on Machine Learning (ICML 2008), Helsinki, July 2008. [paper] [slides] [bib]
Polyhedral Classifier for Target Detection A Case Study: Colorectal Cancer Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, and Vikas C. Raykar, In Proceedings of the 25th International Conference on Machine Learning (ICML 2008), Helsinki, July 2008. [paper] [slides] [bib]
Efficient Kriging via Fast Matrix-Vector Products Nargess Memarsadeghi, Vikas C. Raykar, Ramani Duraiswami, and David M. Mount. In IEEE Aerospace Conference, Big Sky, Montana, March 2008. [paper]
On Ranking in Survival Analysis: Bounds on the Concordance Index Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, and Philippe Lambin. In Advances in Neural Information Processing Systems, vol. 20, pp. 1209–1216 , 2008. [paper] [slides] [spotlight slide] [bib]
A fast algorithm for learning large scale preference relations. Vikas C. Raykar, Ramani Duraiswami, and Balaji Krishnapuram, In Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, San Juan, Peurto Rico, March 2007, pp. 385-392. [paper] [slides] [code] [bib] [ More details can be found in CS-TR-4848 ] [oral presentation]
Fast optimal bandwidth selection for kernel density estimation. Vikas C. Raykar and Ramani Duraiswami, In Proceedings of the sixth SIAM International Conference on Data Mining, Bethesda, April 2006, pp. 524-528. [paper] [brief slides] [code] [bib] [ Detailed version available as CS-TR-4774 ]
Approximate expressions for the mean and the covariance of the maximum
likelihood estimator for acoustic source localization Vikas C. Raykar and Ramani
Duraiswami, In Proceedings of International Conference on Acoustics, Speech and
Signal Processing (ICASSP
2005), Philadelphia, March 2005, vol. III, pp. 73-76
[
Slides ]
The
manifolds of spatial hearing
Ramani Duraiswami and
Vikas C. Raykar, In Proceedings of International
Conference on Acoustics, Speech and Signal Processing (ICASSP
2005), Philadelphia, March 2005, vol. III, pp. 285-288
[
Slides ]
Automatic Position
Calibration of Multiple Microphones Vikas C. Raykar and Ramani
Duraiswami, In Proceedings of International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2004),
Montreal, Canada, May 2004, vol. IV, pp. 69-72
[
Slides ]
Position
Calibration of Audio sensors and actuators in a distributed computing platform
Vikas C. Raykar, Igor Kozintsev and Rainer Lienhart (ACM Multimedia 2003,
Berkeley, CA, USA, November 2003, pp. 572-581) (acceptance rate of 17%)
[
Slides ]
Self Localization
of acoustic sensors and actuators on distributed platforms Vikas C.
Raykar, Igor Kozintsev and Rainer Lienhart (ICCV 2003 International Workshop on
Multimedia Technologies in E-Learning and Collaboration, Nice, France, October
2003)
[
Slides ]
Tracking a
moving speaker using excitation source information
Vikas C. Raykar, Ramani
Duraiswami, B.Yegnanarayana, and S. R. Mahadeva Prasanna, In Proceedings of the
8th Eur. Conf. Speech Communication Technology (Eurospeech 2003),
Geneva, September 2003,
pp. 69-72.
Extracting
significant features from the HRTF
Vikas C. Raykar, B.Yegnanarayana, R. Duraiswami, and L. Davis, In 9th International Conference
on Auditory Display (ICAD
2003), Boston, July 2003, pp. 115-118.
Virtual audio system customization using visual matching of ear parameters
D. Zotkin, R. Duraiswami, L. Davis, A. Mohan,
and V. Raykar, In Proceedings of the 16th Internationl Conference on Pattern Recognition (ICPR
2002), Quebec City, August 2002, Volume 3, pp. 1003-1006
Head Related Impulse Response Interpolation for Dynamic
Spatialization T.V.Sreenivas, Vikas C. Raykar and Ramesh Raman, Texas Instruments DSPS fest-2k,
November
2000, Banglore, India.
WORKSHOP PAPERS/ ABSTRACTS / TALKS
Fast large scale Gaussian process regression using approximate matrix-vector products. Vikas C. Raykar and Ramani Duraiswami, Presented at the Learning workshop 2007, San Juan, Peurto Rico, March 2007. [abstract] [detailed paper] [slides]
On the manifolds of spatial hearing. Vikas C. Raykar and Ramani Duraiswami, Presented at the NIPS 2006 workshop on Novel Applications of Dimensionality Reduction. [abstract] [slides]
The improved fast Gauss Transform with applications to machine learning. Vikas C. Raykar and Ramani Duraiswami, Presented at the NIPS 2005 workshop on Large scale kernel machines. [slides] [code] [video]
Extracting the frequencies of the pinna spectral notches in measured head related impulse responses. Vikas C. Raykar, Ramani Duraiswami, and B. Yegnanarayana (presented at the 148th meeting of Acoustical Society of America, San Diego, California, November 2004) [Slides]
A study of pinna anthropometry and the spectral notch frequencies. Vikas C. Raykar, Ramani Duraiswami, and B. Yegnanarayana (presented at the 148th meeting of Acoustical Society of America, San Diego, California, November 2004) [Slides]
Fast weighted summation of erfc functions. Vikas C. Raykar, R. Duraiswami, and B. Krishnapuram, CS-TR-4848, Department of computer science, University of Maryland, CollegePark. [abstract] [TR] [slides] [code] [bib]
Very fast optimal bandwidth selection for univariate kernel density estimation. Vikas C. Raykar and R. Duraiswami, CS-TR-4774, Department of computer science, University of Maryland, CollegePark. [abstract] [TR] [slides] [code] [bib]
Fast computation of sums of Gaussians in high dimensions. Vikas C. Raykar, C. Yang, R. Duraiswami, and N. Gumerov, CS-TR-4767, Department of computer science, University of Maryland, Collegepark. [abstract] [TR] [slides] [code] [bib]
Extracting frequencies of the
pinna spectral notches in measured head related impulse responses Vikas C. Raykar, Ramani Duraiswami, and B. Yegnanarayana, University of Maryland
CollegePark, Department of Computer Science Technical Report, CS-TR-4609,
July 2004 (also published as UMIACS-TR-2004-51).
Scalable machine learning for massive datasets: Fast summation algorithms Doctoral dissertation, Department of computer science, University of Maryland College Park, March 2007 [ Research Summary ] [ Thesis ] [ Slides ]
Position calibration of
acoustic sensors and actuators on distributed general purpose computing platforms
Masters thesis, Department of electrical engineering,
University of Maryland College Park, December 2003