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102
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ICML
2009
IEEE
16 years 1 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
72
Voted
ICMCS
2007
IEEE
107views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Power Efficient Motion Estimation using Multiple Imprecise Metric Computations
In this paper, we propose power efficient motion estimation (ME) using multiple imprecise sum absolute difference (SAD) metric computations. We extend recent work in [18] by prov...
In Suk Chong, Antonio Ortega
AMDO
2006
Springer
15 years 4 months ago
A Spatio-temporal Metric for Dynamic Mesh Comparison
A new approach to comparison of dynamic meshes based on Hausdorff distance is presented along with examples of application of such metric. The technique presented is based on repre...
Libor Vása, Václav Skala
74
Voted
SIGDIAL
2010
14 years 10 months ago
Evaluation Metrics For End-to-End Coreference Resolution Systems
Commonly used coreference resolution evaluation metrics can only be applied to key mentions, i.e. already annotated mentions. We here propose two variants of the B3 and CEAF coref...
Jie Cai, Michael Strube
103
Voted
RECOMB
2006
Springer
16 years 27 days ago
A Sublinear-Time Randomized Approximation Scheme for the Robinson-Foulds Metric
The Robinson-Foulds (RF) metric is the measure most widely used in comparing phylogenetic trees; it can be computed in linear time using Day's algorithm. When faced with the n...
Nicholas D. Pattengale, Bernard M. E. Moret