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CVPR
2009
IEEE
13 years 8 months ago
Learning IMED via shift-invariant transformation
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
Bing Sun, Jufu Feng, Liwei Wang
CVPR
2008
IEEE
15 years 3 days ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICMCS
2007
IEEE
214views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Exploring Discriminative Learning for Text-Independent Speaker Recognition
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, T...
COMPLEX
2009
Springer
14 years 4 months ago
Exploring and Understanding Scientific Metrics in Citation Networks
This paper explores scientific metrics in citation networks in scientific communities, how they differ in ranking papers and authors, and why. In particular we focus on network eff...
Mikalai Krapivin, Maurizio Marchese, Fabio Casati
MM
2009
ACM
177views Multimedia» more  MM 2009»
14 years 4 months ago
Transfer non-metric measures into metric for similarity search
Similarity search is widely used in multimedia retrieval systems to find the most similar ones for a given object. Some similarity measures, however, are not metric, leading to e...
Danzhou Liu, Kien A. Hua