Erik G. Learned-Miller

Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller: Bounding the Probability of Error for High Precision Optical Character Recognition. Journal of Machine Learning Research 13: 363-387 (2012)

Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller: Improvements in Joint Domain-Range Modeling for Background Subtraction. BMVC 2012: 1-11

Laura Sevilla-Lara, Erik G. Learned-Miller: Distribution fields for tracking. CVPR 2012: 1910-1917

Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller: Background modeling using adaptive pixelwise kernel variances in a hybrid feature space. CVPR 2012: 2104-2111

Gary B. Huang, Honglak Lee, Erik G. Learned-Miller: Learning hierarchical representations for face verification with convolutional deep belief networks. CVPR 2012: 2518-2525

Gary B. Huang, Marwan A. Mattar, Honglak Lee, Erik G. Learned-Miller: Learning to Align from Scratch. NIPS 2012: 773-781

Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller: Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics. UAI 2012: 584-593

Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller: Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics. CoRR abs/1210.4892 (2012)

Andrew Kae, David A. Smith, Erik G. Learned-Miller: Learning on the fly: a font-free approach toward multilingual OCR. IJDAR 14(3): 289-301 (2011)

Gang Hua, Ming-Hsuan Yang, Erik G. Learned-Miller, Yi Ma, Matthew Turk, David J. Kriegman, Thomas S. Huang: Introduction to the Special Section on Real-World Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 1921-1924 (2011)

David L. Smith, Jacqueline Field, Erik G. Learned-Miller: Enforcing similarity constraints with integer programming for better scene text recognition. CVPR 2011: 73-80

Vidit Jain, Erik G. Learned-Miller: Online domain adaptation of a pre-trained cascade of classifiers. CVPR 2011: 577-584

Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao Jiang, Erik G. Learned-Miller: Exploiting Half-Wits: Smarter Storage for Low-Power Devices. FAST 2011: 47-60

Robert J. Walls, Erik G. Learned-Miller, Brian Neil Levine: Forensic Triage for Mobile Phones with DEC0DE. USENIX Security Symposium 2011

Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller: Improving state-of-the-art OCR through high-precision document-specific modeling. CVPR 2010: 1935-1942

Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson: Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1733-1746 (2009)

Marwan A. Mattar, Michael G. Ross, Erik G. Learned-Miller: Nonparametric curve alignment. ICASSP 2009: 3457-3460

Andrew Kae, Erik G. Learned-Miller: Learning on the Fly: Font-Free Approaches to Difficult OCR Problems. ICDAR 2009: 571-575

Andrew Kae, Gary B. Huang, Erik G. Learned-Miller: Bounding the Probability of Error for High Precision Recognition. CoRR abs/0907.0418 (2009)

Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik: Learning to Locate Informative Features for Visual Identification. International Journal of Computer Vision 77(1-3): 3-24 (2008)

Erik G. Learned-Miller, Joseph DeStefano: A Probabilistic Upper Bound on Differential Entropy. IEEE Transactions on Information Theory 54(11): 5223-5230 (2008)

Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson: A discriminative semi-Markov model for robust scene text recognition. ICPR 2008: 1-5

Manjunatha Jagalur, Chris Pal, Erik G. Learned-Miller, R. Thomas Zoeller, David Kulp: Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering. BMC Bioinformatics 8(S-10) (2007)

Gary B. Huang, Vidit Jain, Erik G. Learned-Miller: Unsupervised Joint Alignment of Complex Images. ICCV 2007: 1-8

Vidit Jain, Erik G. Learned-Miller, Andrew McCallum: People-LDA: Anchoring Topics to People using Face Recognition. ICCV 2007: 1-8

Gary B. Huang, Erik G. Learned-Miller, Andrew McCallum: Cryptogram Decoding for OCR Using Numerization Strings. ICDAR 2007: 208-212

Jerod J. Weinman, Erik G. Learned-Miller, Allen R. Hanson: Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation. ICDAR 2007: 979-983

Michael L. Wick, Michael G. Ross, Erik G. Learned-Miller: Context-Sensitive Error Correction: Using Topic Models to Improve OCR. ICDAR 2007: 1168-1172

David Walker Duhon, Jerod J. Weinman, Erik G. Learned-Miller: Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot. ICRA 2007: 3034-3040

Erik G. Learned-Miller: Data Driven Image Models through Continuous Joint Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 236-250 (2006)

Vidit Jain, Andras Ferencz, Erik G. Learned-Miller: Discriminative Training of Hyper-feature Models for Object Identification. BMVC 2006: 357-366

Jerod J. Weinman, Erik G. Learned-Miller: Improving Recognition of Novel Input with Similarity. CVPR (1) 2006: 308-315

Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller: Combinatorial Markov Random Fields. ECML 2006: 30-41

Erik G. Learned-Miller, Qifeng Lu, Angela Paisley, Peter Trainer, Volker Blanz, Katrin Dedden, Ralph Miller: Detecting Acromegaly: Screening for Disease with a Morphable Model. MICCAI (2) 2006: 495-503

Lilla Zöllei, Erik G. Learned-Miller, W. Eric L. Grimson, William M. Wells III: Efficient Population Registration of 3D Data. CVBIA 2005: 291-301

Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik: Building a Classification Cascade for Visual Identification from One Example. ICCV 2005: 286-293

Erik G. Learned-Miller, Vidit Jain: Many Heads Are Better Than One: Jointly Removing Bias from Multiple MRIs Using Nonparametric Maximum Likelihood. IPMI 2005: 615-626

Joseph DeStefano, Erik G. Learned-Miller: A Probabilistic Upper Bound on Differential Entropy. CoRR abs/cs/0504091 (2005)

Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth: Names and Faces in the News. CVPR (2) 2004: 848-854

Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik: Learning Hyper-Features for Visual Identification. NIPS 2004

Erik G. Learned-Miller, Parvez Ahammad: Joint MRI Bias Removal Using Entropy Minimization Across Images. NIPS 2004

Erik G. Learned-Miller, John W. Fisher III: ICA Using Spacings Estimates of Entropy. Journal of Machine Learning Research 4: 1271-1295 (2003)