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» A New Study on Distance Metrics as Similarity Measurement
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ACCV
2009
Springer
13 years 11 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
COMCOM
2006
94views more  COMCOM 2006»
13 years 7 months ago
Estimation of network distances using off-line measurements
Several emerging large-scale Internet applications such as Content Distribution Networks, and Peerto-Peer networks could potentially benefit from knowing the underlying Internet t...
Prasun Sinha, Danny Raz, Nidhan Choudhuri
SMC
2007
IEEE
120views Control Systems» more  SMC 2007»
14 years 1 months ago
A data-dependent distance measure for transductive instance-based learning
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
Jared Lundell, Dan Ventura
ICMCS
2005
IEEE
178views Multimedia» more  ICMCS 2005»
14 years 1 months ago
On the Earth Mover's Distance as a histogram similarity metric for image retrieval
In this paper, the performance of the Earth Mover’s Distance (EMD) vs χ2 distance as histogram similarity metrics for image retrieval is evaluated experimentally. Ground truth ...
Zhenghua Yu, Gunawan Herman
WEA
2009
Springer
126views Algorithms» more  WEA 2009»
14 years 2 months ago
Measuring the Similarity of Geometric Graphs
What does it mean for two geometric graphs to be similar? We propose a distance for geometric graphs that we show to be a metric, and that can be computed by solving an integer li...
Otfried Cheong, Joachim Gudmundsson, Hyo-Sil Kim, ...