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CVPR
1997
IEEE
14 years 2 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
CVRMED
1997
Springer
14 years 1 months ago
Image registration: convex weighting functions for histogram-based similarity measures
Recently the entropy-similarity measure has been introduced for the registration of image pairs prior to subtraction in medical imaging e.g. digital subtraction angiography (DSA). ...
Thorsten M. Buzug, Jürgen Weese, Carola Fassn...
CVPR
2006
IEEE
14 years 1 months ago
An Efficiency Criterion for 2D Shape Model Selection.
We propose efficiency of representation as a criterion for evaluating shape models, then apply this criterion to compare the boundary curve representation with the medial axis. We...
Kathryn Leonard
ICPR
2010
IEEE
14 years 26 days ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
CVPR
2010
IEEE
14 years 6 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta