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Many computer vision algorithms depend on a variety of parameter choices and settings that are typically hand-tuned in the course of evaluating the algorithm.
The application of Bayesian methods for seeking the extremum
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Backpropagation applied to handwritten zip code recognition
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A fast learning algorithm for deep belief nets
G. E. Hinton, S. Osindero, and Y. Teh · 2006
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Gaussian Processes for Machine Learning
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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Liblinear: A library for large linear classification
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, , and C.-J. Lin · 2008
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Automated Configuration of Algorithms for Solving Hard Computational Problems
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Surrogating the surrogate: accelerating Gaussian Process optimization with mixtures
R. Bardenet and B. Kégl · 2010
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Theano: a CPU and GPU math expression compiler
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The importance of encoding versus training with sparse coding and vector quantization
A. Coates and A. Y. Ng · 2011
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Scikit-learn: Machine Learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Beyond simple features: A large-scale feature search approach to unconstrained face recognition
N. Pinto and D. D. Cox · 2011
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Scaling-up Biologically-Inspired Computer Vision: A Case-Study on Facebook
N. Pinto, Z. Stone, T. Zickler, and D. D. Cox · 2011
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Opportunity cost in bayesian optimization
J. Snoek, H. Larochelle, and R. P. Adams · 2011
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Interactive Bayesian Optimization: Learning Parameters for Graphics and Animation
E. Brochu · 2010
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Sequential model-based optimization for general algorithm configuration
F. Hutter, H. Hoos, and K. Leyton-Brown · 2010
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Algorithms for hyper-parameter optimization
J. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl · 2011
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Software for hyper parameter optimization
Anonymous · 2012
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Random search for hyper-parameter optimization
J. Bergstra and Y. Bengio · 2012
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Machine learning for predictive auto-tuning with boosted regression trees
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How does the brain solve visual object recognition?
J. J. DiCarlo, D. Zoccolan, and N. C. Rust · 2012
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