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» An abstraction of the Lidar measurements
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107
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EDBT
2004
ACM
268views Database» more  EDBT 2004»
16 years 19 days ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
108
Voted
EDBT
2006
ACM
179views Database» more  EDBT 2006»
16 years 19 days ago
TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
Jiong Yang, Meng Hu
76
Voted
ICDE
2010
IEEE
371views Database» more  ICDE 2010»
16 years 8 days ago
TASM: Top-k Approximate Subtree Matching
Abstract-- We consider the Top-k Approximate Subtree Matching (TASM) problem: finding the k best matches of a small query tree, e.g., a DBLP article with 15 nodes, in a large docum...
Nikolaus Augsten, Denilson Barbosa, Michael H. B&o...
PERCOM
2003
ACM
16 years 3 days ago
Location Aware Resource Management in Smart Homes
Abstract-- The rapid advances in a wide range of wireless access technologies along with the efficient use of smart spaces have already set the stage for development of smart homes...
Abhishek Roy, Soumya K. Das Bhaumik, Amiya Bhattac...
86
Voted
SODA
2010
ACM
149views Algorithms» more  SODA 2010»
15 years 10 months ago
Sharp kernel clustering algorithms and their associated Grothendieck inequalities
abstract Subhash Khot Assaf Naor In the kernel clustering problem we are given a (large) n ? n symmetric positive semidefinite matrix A = (aij) with n i=1 n j=1 aij = 0 and a (sma...
Subhash Khot, Assaf Naor