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» From Simple Features to Sophisticated Evaluation Functions
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CVPR
2007
IEEE
14 years 9 months ago
Learning Features for Tracking
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Michael Grabner, Helmut Grabner, Horst Bischof
ACL
2006
13 years 9 months ago
Training Conditional Random Fields with Multivariate Evaluation Measures
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
Jun Suzuki, Erik McDermott, Hideki Isozaki
PG
2002
IEEE
14 years 18 days ago
A Physics-Based Framework for Subdivision Surface Design with Automatic Rules Control
The recent non-uniform subdivision approach extends traditional uniform subdivision schemes with variable rules, offering additional shape parameters (such as knot spacings) for f...
Hui Xie, Hong Qin
ICC
2009
IEEE
13 years 5 months ago
Performance Evaluation of QAM-Based BICM: An Analytical Approach
We present an analytical approach to determine the performance of bit-interleaved coded modulation (BICM) transmission over unfaded Gaussian channels. In particular, we derive expr...
Alireza Kenarsari-Anhari, Lutz H.-J. Lampe
ICCV
2007
IEEE
14 years 9 months ago
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
Özlem N. Subakan, Bing Jian, Baba C. Vemuri, ...