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» Dimensionality Reduction of Clustered Data Sets
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IS
2008
13 years 8 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
ICML
2003
IEEE
14 years 9 months ago
Learning Distance Functions using Equivalence Relations
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daph...
ASAP
2005
IEEE
169views Hardware» more  ASAP 2005»
14 years 2 months ago
Alleviating the Data Memory Bandwidth Bottleneck in Coarse-Grained Reconfigurable Arrays
It is widely known that parallel operation execution in multiprocessor systems generates a respective increase in memory accesses. Since the memory and bus subsystems provide a li...
Grigoris Dimitroulakos, Michalis D. Galanis, Costa...
SIAMJO
2010
100views more  SIAMJO 2010»
13 years 3 months ago
Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
Nathan Krislock, Henry Wolkowicz
SI3D
2006
ACM
14 years 2 months ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...