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PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
14 years 1 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
IROS
2008
IEEE
148views Robotics» more  IROS 2008»
14 years 2 months ago
Identifying a moving object with an accelerometer in a camera view
— This paper proposes a method for identifying an object which contains an accelerometer out of many moving objects in the view of a stationary camera using motion data obtained ...
Osamu Shigeta, Shingo Kagami, Koichi Hashimoto
BMVC
2010
13 years 6 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh
ICDCS
2002
IEEE
14 years 25 days ago
Incremental Replication for Mobility Support in OBIWAN
The need for sharing is well known in a large number of distributed collaborative applications. These applications are difficult to develop for wide area (possibly mobile) networ...
Luís Veiga, Paulo Ferreira
PR
2008
228views more  PR 2008»
13 years 7 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu