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» Evaluation Issues in Autonomic Computing
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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 10 days ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICCV
2009
IEEE
16 years 2 months ago
Sparsity Induced Similarity Measure for Label Propagation
Graph-based semi-supervised learning has gained considerable interests in the past several years thanks to its effectiveness in combining labeled and unlabeled data through labe...
Hong Cheng, Zicheng Liu, Jie Yang
CVPR
2008
IEEE
15 years 12 months ago
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation pr...
René Vidal, Roberto Tron, Shankar Rao, Yi M...
ECCV
1996
Springer
15 years 11 months ago
Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
There have been two thrusts in the development of optical flow algorithms. One has emphasized higher accuracy; the other faster implementation. These two thrusts, however, have be...
Hongche Liu, Tsai-Hong Hong, Martin Herman, Rama C...
ICPR
2008
IEEE
15 years 11 months ago
Preliminary approach on synthetic data sets generation based on class separability measure
Usually, performance of classifiers is evaluated on real-world problems that mainly belong to public repositories. However, we ignore the inherent properties of these data and how...
Núria Macià, Ester Bernadó-Ma...