 | 2009 |
| 24 |  | Andrew Kae,
Erik G. Learned-Miller:
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems.
ICDAR 2009: 571-575 |
| 23 |  | Andrew Kae,
Gary B. Huang,
Erik G. Learned-Miller:
Bounding the Probability of Error for High Precision Recognition
CoRR abs/0907.0418: (2009) |
| 2008 |
| 22 |  | Jerod Weinman,
Erik G. Learned-Miller,
Allen R. Hanson:
A discriminative semi-Markov model for robust scene text recognition.
ICPR 2008: 1-5 |
| 21 |  | Erik G. Learned-Miller,
Joseph DeStefano:
A Probabilistic Upper Bound on Differential Entropy.
IEEE Transactions on Information Theory 54(11): 5223-5230 (2008) |
| 20 |  | 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) |
| 2007 |
| 19 |  | Vidit Jain,
Erik G. Learned-Miller,
Andrew McCallum:
People-LDA: Anchoring Topics to People using Face Recognition.
ICCV 2007: 1-8 |
| 18 |  | Gary B. Huang,
Vidit Jain,
Erik G. Learned-Miller:
Unsupervised Joint Alignment of Complex Images.
ICCV 2007: 1-8 |
| 17 |  | Michael L. Wick,
Michael G. Ross,
Erik G. Learned-Miller:
Context-Sensitive Error Correction: Using Topic Models to Improve OCR.
ICDAR 2007: 1168-1172 |
| 16 |  | Gary B. Huang,
Erik G. Learned-Miller,
Andrew McCallum:
Cryptogram Decoding for OCR Using Numerization Strings.
ICDAR 2007: 208-212 |
| 15 |  | Jerod Weinman,
Erik G. Learned-Miller,
Allen R. Hanson:
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation.
ICDAR 2007: 979-983 |
| 14 |  | David Walker Duhon,
Jerod Weinman,
Erik G. Learned-Miller:
Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot.
ICRA 2007: 3034-3040 |
| 13 |  | 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) |
| 2006 |
| 12 |  | Jerod Weinman,
Erik G. Learned-Miller:
Improving Recognition of Novel Input with Similarity.
CVPR (1) 2006: 308-315 |
| 11 |  | Ron Bekkerman,
Mehran Sahami,
Erik G. Learned-Miller:
Combinatorial Markov Random Fields.
ECML 2006: 30-41 |
| 10 |  | 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 |
| 9 |  | Erik G. Learned-Miller:
Data Driven Image Models through Continuous Joint Alignment.
IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 236-250 (2006) |
| 2005 |
| 8 |  | Lilla Zöllei,
Erik G. Learned-Miller,
W. Eric L. Grimson,
William M. Wells III:
Efficient Population Registration of 3D Data.
CVBIA 2005: 291-301 |
| 7 |  | Andras Ferencz,
Erik G. Learned-Miller,
Jitendra Malik:
Building a Classification Cascade for Visual Identification from One Example.
ICCV 2005: 286-293 |
| 6 |  | 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 |
| 5 |  | Joseph DeStefano,
Erik G. Learned-Miller:
A Probabilistic Upper Bound on Differential Entropy
CoRR abs/cs/0504091: (2005) |
| 2004 |
| 4 |  | 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 |
| 3 |  | Erik G. Learned-Miller,
Parvez Ahammad:
Joint MRI Bias Removal Using Entropy Minimization Across Images.
NIPS 2004 |
| 2 |  | Andras Ferencz,
Erik G. Learned-Miller,
Jitendra Malik:
Learning Hyper-Features for Visual Identification.
NIPS 2004 |
| 2003 |
| 1 |  | Erik G. Learned-Miller,
John W. Fisher III:
ICA Using Spacings Estimates of Entropy.
Journal of Machine Learning Research 4: 1271-1295 (2003) |