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» Learning the Relative Importance of Features in Image Data
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ICCV
2005
IEEE
15 years 9 months ago
Learning the Probability of Correspondences without Ground Truth
We present a quality assessment procedure for correspondence estimation based on geometric coherence rather than ground truth. The procedure can be used for performance evaluation...
Qingxiong Yang, R. Matt Steele, David Nisté...
ICIP
2005
IEEE
16 years 5 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
DAGM
2010
Springer
15 years 2 months ago
Catheter Tracking: Filter-Based vs. Learning-Based
Abstract. Atrial fibrillation is the most common sustained arrhythmia. One important treatment option is radio-frequency catheter ablation (RFCA) of the pulmonary veins attached t...
Alexander Brost, Andreas Wimmer, Rui Liao, Joachim...
ICIP
2004
IEEE
16 years 5 months ago
CVPIC image retrieval based on block colour co-occurance matrix and pattern histogram
Compressed domain image processing techniques are becoming increasingly important. Compressed domain retrieval It allows the calculation of image features and hence content-based ...
Gerald Schaefer, Simon Lieutaud, Guoping Qiu
IJDLS
2010
131views more  IJDLS 2010»
15 years 1 months ago
Annotating Historical Archives of Images
Recent initiatives like the Million Book Project and Google Print Library Project have already archived several million books in digital format, and within a few years a significa...
Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christi...