- Discriminative Training of Hyper-feature Models for Object Identification
- Cryptogram Decoding for Optical Character Recognition Gary Huang, Erik Learned-Miller, Andrew McCallum
- Bounding the Probability of Error for High Precision Recognition
- Learning from One Example Through Shared Densities on Transforms Erik G. Miller and Nicholas E. Matsakis and Paul A. Viola
- Efficient population registration of 3D data Lilla Zollei1
- Int J Comput Vis (2008) 77: 324 DOI 10.1007/s11263-007-0093-5
- Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation Jerod J. Weinman, Erik Learned-Miller, and Allen Hanson
- Color Eigenflows : Statistical Modeling of Joint Color Changes
- NONPARAMETRIC CURVE ALIGNMENT Marwan A. Mattar
- Learning from One Example in Machine Vision by Sharing Probability Densities
- Online Domain Adaptation of a Pre-Trained Cascade of Classifiers Yahoo! Labs Bangalore
- Color Eigenflows : Statistical Modeling of Joint Color Changes
- Unsupervised Color Constancy Artificial Intelligence Laboratory
- A NEW CLASS OF ENTROPY ESTIMATORS FOR MULTI-DIMENSIONAL DENSITIES Erik G. Miller
- Exploiting Half-wits: Smarter Storage for Low-Power Devices Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao (Andrew) Jiang, Erik Learned-Miller
- Reverse Engineering for Mobile Systems Forensics with John Tuttle Robert J. Walls Erik Learned-Miller Brian Neil Levine
- LFW Results Using a Combined Nowak Plus MERL Recognizer
- A Discriminative Semi-Markov Model for Robust Scene Text Recognition Jerod J. Weinman Erik Learned-Miller and Allen Hanson
- BioMed Central Page 1 of 21
- Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments
- Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot
- Improving Recognition of Novel Input with Similarity Jerod J. Weinman and Erik Learned-Miller
- Transform-invariant image decomposition with similarity templates
- 1 Project Summary Intellectual merit. The dramatic processing power and large memories of modern computers, coupled
- Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller
- Combinatorial Markov Random Fields Ron Bekkerman1
- Lighting Invariance through Joint Color Change Models Erik G. Miller,
- Learning Object-Independent Modes of Variation with Feature Flow Fields
- Unsupervised Joint Alignment of Complex Images Gary B. Huang Vidit Jain
- Ambiguity and Constraint in Mathematical Expression Recognition Erik G. Miller and Paul A. Viola
- Practical Non-parametric Density Estimation on a Transformation Group for Vision
- Building a Classification Cascade for Visual Identification from One Example Andras Ferencz
- Joint MRI Bias Removal Using Entropy Minimization Across Images
- Sign Classification using Local and Meta-Features Marwan A. Mattar, Allen R. Hanson, and Erik G. Learned-Miller
- Many Heads are Better than One: Jointly Removing Bias from Multiple MRIs using
- Detecting Acromegaly: Screening for Disease with a Morphable Model Qifeng Lu, Erik Learned-Miller, Angela Paisley,
- Sign Classification for the Visually Impaired Marwan A. Mattar Allen R. Hanson Erik G. Learned-Miller
- Enforcing Similarity Constraints with Integer Programming for Better Scene Text Recognition
- Improving State-of-the-Art OCR through High-Precision Document-Specific Modeling
- Learning on the Fly: Font-Free Approaches to Difficult OCR Problems Andrew Kae and Erik Learned-Miller
- A Probabilistic Upper Bound on Differential Entropy
- People-LDA: Anchoring Topics to People using Face Recognition Vidit Jain Erik Learned-Miller
- Improved Generative Models for Continuous Image Features through Tree-structured Non-parametric
- Data Driven Image Models through Continuous Joint Alignment
- The Processing and Analysis of in situ Gene Expression Images of the Mouse Brain
- Joint Feature Selection for Object Detection and Recognition Jerod J. Weinman, Allen Hanson, and Erik Learned-Miller
- Learning Hyper-Features for Visual Identification
- A Probabilistic Upper Bound on Differential Entropy
- Hyperspacings and the Estimation of Information Theoretic Quantities
- Independent Components Analysis by Direct Entropy Minimization
- A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
- An Intrinsic Coordinate System of the Developing Human Brain Simon K. Warfield, Petra S. Huppi, Terrie E. Inder, Erik G. Miller, William M. Wells III, Gary P. Zientara, Ferenc A.
- Learning from One Example Through Shared Densities on Transforms Erik G. Miller and Nicholas E. Matsakis and Paul A. Viola
- Alternative Tilings for Improved Surface Area Estimates
- 1 Introduction In the early days of computer vision and pattern recognition, writing a program to recognize an object meant
- FDDB: A Benchmark for Face Detection in Unconstrained Settings University of Massachusetts Amherst
- ICA USING SPACINGS ESTIMATES OF ENTROPY Erik G. Miller
- O R I G I N A L A R T I C L E Early diagnosis of acromegaly: computers vs clinicians
- Forensic Triage for Mobile Phones with DEC0DE Robert J. Walls Erik Learned-Miller Brian Neil Levine
- DOI 10.1007/s10032-011-0164-6 ORIGINAL PAPER
