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» From Simple Features to Sophisticated Evaluation Functions
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CVPR
2007
IEEE
16 years 3 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
15 years 2 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
15 years 6 months 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
14 years 11 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
16 years 3 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, ...