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» Shape Priors using Manifold Learning Techniques
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ICDAR
2009
IEEE
14 years 11 months ago
Handwritten Word Image Retrieval with Synthesized Typed Queries
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
José A. Rodríguez-Serrano, Florent P...
CVPR
2011
IEEE
14 years 9 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth
SIGCSE
2004
ACM
140views Education» more  SIGCSE 2004»
15 years 7 months ago
CS1 assessment using memory diagrams
Understanding the execution of an object-oriented program can be a challenge for a student starting a CS1 course. We believe that a type of diagram that we call a memory diagram c...
Mark A. Holliday, David Luginbuhl
MICCAI
2006
Springer
16 years 2 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...
ICCV
2009
IEEE
16 years 6 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep