Visible to the public Biblio

Found 172 results

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2018-05-27
Burkay Orten, Prakash Ishwar, William Clement Karl, Venkatesh Saligrama.  2011.  Sensing structure in learning-based binary classification of high-dimensional data. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :1521–1528.
Joseph Wang, Venkatesh Saligrama, David A. Castañón.  2011.  Structural similarity and distance in learning. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :744–751.
Zachary Sun, W. Clem Karl, Prakash Ishwar, Venkatesh Saligrama.  2012.  Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :405–408.
Cem Aksoylar, George K. Atia, Venkatesh Saligrama.  2012.  Sample complexity of salient feature identification for sparse signal processing. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :329–332.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2013.  Sensing-Aware Kernel SVM. CoRR. abs/1312.0512
Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama.  2013.  Stochastic threshold group testing. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
Cem Aksoylar, George K. Atia, Venkatesh Saligrama.  2013.  Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama.  2013.  Sparse signal recovery under Poisson statistics. 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013, Allerton Park {&} Retreat Center, Monticello, IL, USA, October 2-4, 2013. :1450–1457.
Kirill Trapeznikov, Venkatesh Saligrama.  2013.  Supervised Sequential Classification Under Budget Constraints. Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013. 31:581–589.
Cem Aksoylar, Venkatesh Saligrama.  2014.  Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data. CoRR. abs/1403.3109
Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama.  2014.  Sparse signal recovery under poisson statistics for online marketing applications. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :4953–4957.
Jing Qian, Venkatesh Saligrama.  2014.  Spectral clustering with imbalanced data. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :3057–3061.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2014.  Sensing-aware kernel SVM. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2947–2951.
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2015.  Supervised Hashing with Deep Neural Networks. CoRR. abs/1511.04524
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2015.  Sensor Selection by Linear Programming. CoRR. abs/1509.02954
Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama.  2016.  Sequential Learning without Feedback. CoRR. abs/1610.05394
Tolga Bolukbasi, Kai{-}Wei Chang, Joseph Wang, Venkatesh Saligrama.  2016.  Structured Prediction with Test-time Budget Constraints. CoRR. abs/1602.08761
Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama.  2017.  Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. CoRR. abs/1705.10924
Talukdar, Saurav, Bhaban, Shreyas, Materassi, Donatello, Salapaka, Murti.  2016.  Steady state dynamics of molecular motors reveals load dependent cooperativity. Decision and Control (CDC), 2016 IEEE 55th Conference on. :3356–3362.
Junxing Yang, Md. Ariful Islam, Radu Grosu, Scott A. Smolka, Scott Stoller.  2017.  A Simplex Architecture for Hybrid Systems using Barrier Certificates. International Conference on Computer Safety, Reliability and Security (SAFECOMP 2017). :117–131.
Mitra, Aritra, Sundaram, Shreyas.  2017.  Secure Distributed State Estimation for LTI Systems. Automatica.

Under preparation

Mitra, Aritra, Sundaram, Shreyas.  2018.  Secure Distributed State Estimation of an LTI system over Time-Varying Networks and Analog Erasure Channels. American Control Conference.

submitted

Hu, Y, Tilke, D, Adams, T, Crandall, A, Cook, Diane J, Schmitter-Edgecombe, Maureen.  2016.  Smart home in a box: Usability study for a large scale self-installation of smart home technologies. Journal of Reliable Intelligent Environments. 2:93–106.
Aminikhanghahi, Samaneh, Cook, Diane J..  2016.  A survey of methods for time series change point detection. Knowledge and Information Systems. :1–29.
Dahmen, Jessamyn, Cook, Diane J, Wang, Xiaobo, Honglei, Wang.  2016.  Smart secure homes: A survey of smart home technologies that sense, assess, and respond to security threats. Journal of Reliable Intelligent Environments.