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» Ensembles of landmark multidimensional scalings
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ICASSP
2009
IEEE
13 years 2 months ago
Ensembles of landmark multidimensional scalings
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
Seunghak Lee, Seungjin Choi
INFOCOM
2008
IEEE
13 years 11 months ago
Connectivity-Based Localization of Large Scale Sensor Networks with Complex Shape
—We study the problem of localizing a large sensor network having a complex shape, possibly with holes. A major challenge with respect to such networks is to figure out the corr...
Sol Lederer, Yue Wang, Jie Gao
IJVR
2007
85views more  IJVR 2007»
13 years 4 months ago
Detection of Landmarks for Clustering of Online-Game Players
—Understanding of player behaviors is an important issue to keep online games interesting to their players. Focusing on player movement, in our previous work, we proposed a metho...
Ruck Thawonmas, Masayoshi Kurashige, Kuan-Ta Chen
ICASSP
2010
IEEE
13 years 3 months ago
CBCD based on color features and landmark MDS-assisted distance estimation
Content-Based Copy Detection (CBCD) of digital videos is an important research field that aims at the identification of modified copies of an original clip, e.g., on the Intern...
Marzia Corvaglia, Fabrizio Guerrini, Riccardo Leon...
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 4 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...