Searched NIPS database for Bradski
Number of hits found: 12
Listing results 1 - 10
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[ps.gz][pdf][bib] A Massively Parallel Digital Learning Processor (2009)
Hans Peter Graf, Srihari Cadambi, Igor Durdanovic, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat Chakradhar
... By systematically exploiting characteristic properties of machine learning algorithms, we developed a new massively parallel processor architecture that is very efficient and can be scaled to thousands of processing elements. The implementation demonstrated here is more than an order of ...

[ps.gz][pdf][bib] Sparse Online Learning via Truncated Gradient (2009)
John Langford, Lihong Li, Tong Zhang
... References [1] A. Asuncion and D.J. Newman. UCI machine learning repository, 2007. UC Irvine. [2] N. Cesa-Bianchi, P.M. Long, and M. Warmuth. Worst-case quadratic loss bounds for prediction using linear functions and gradient descent. IEEE Transactions on Neural Networks, 7(3):604­619, 1996. ...

[ps.gz][pdf][bib] The Information-Form Data Association Filter  (2006)
Brad Schumitsch, Sebastian Thrun, Gary Bradski, Kunle Olukotun

[ps.gz][pdf][bib] Efficient Inference for Distributions on Permutations (2008)
Jonathan Huang, Carlos Guestrin, Leonidas Guibas
... References [1] Y. Ivanov, A. Sorokin, C. Wren, and I. Kaur. Tracking people in mixed modality systems. Technical Report TR2007-11, MERL, 2007. [2] J. Shin, L. Guibas, and F. Zhao. A distributed algorithm for managing multi-target identities in wireless ad-hoc sensor ...

[ps.gz][pdf][bib] Parallelizing Support Vector Machines on Distributed Computers (2008)
Edward Chang, Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui
... References Bach, F. R., & Jordan, M. I. (2005). Predictive low-rank decomposition for kernel methods. Proceedings of the 22nd International Conference on Machine Learning. Boyd, S. (2004). Convex optimization. Cambridge University Press. Chang, C.-C., & Lin, C.-J. (2001). LIBSVM: a library ...

[ps.gz][pdf][bib] Predicting human gaze using low-level saliency combined with face detection (2008)
Moran Cerf, Jonathan Harel, Wolfgang Einhaeuser, Christof Koch
... [7] J.M. Henderson, J.R. Brockmole, M.S. Castelhano, and M. Mack. Visual Saliency Does Not Account for Eye Movements during Visual Search in Real-World Scenes. Eye Movement Research: Insights into Mind and Brain, R. van Gompel, M. Fischer, W. Murray, and ...

[ps.gz][pdf][bib] Distributed Inference for Latent Dirichlet Allocation (2008)
David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling
... References [1] C. Chu, S. Kim, Y. Lin, Y. Yu, G. Bradski, A. Ng, and K. Olukotun. Map-Reduce for machine learning on multicore. In NIPS 19, pages 281­288. MIT Press, Cambridge, MA, 2007. [2] W. Kowalczyk and N. Vlassis. Newscast EM. ...

[pdf][bib] Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process (2009)
Shakir Mohamed, David Knowles, Zoubin Ghahramani, Finale Doshi-Velez
... References [1] C. Chu, S. Kim, Y. Lin, Y. Yu, G. Bradski, A. Ng, and K. Olukotun, "Map-reduce for machine learning on multicore," in Advances in Neural Information Processing Systems, p. 281, MIT Press, 2007. [2] A. Asuncion, P. Smyth, and ...

[pdf][bib] Slow Learners are Fast (2009)
Martin Zinkevich, Alex Smola, John Langford
... References [1] Peter L. Bartlett, Elad Hazan, and Alexander Rakhlin. Adaptive online gradient descent. In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, Cambridge, MA, 2008. MIT Press. [2] L. Bottou ...

[pdf][bib] Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models (2009)
Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker
... References [1] A. Berger, V. Della Pietra, and S. Della Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39­71, 1996. [2] O. Bousquet and A. Elisseeff. Stability and generalization. Journal of Machine Learning Research, 2:499­526, 2002. [3] S. ...

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