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ICDE
1999
IEEE
139views Database» more  ICDE 1999»
16 years 7 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
15 years 12 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
CN
2007
137views more  CN 2007»
15 years 6 months ago
Defending against hitlist worms using network address space randomization
Worms are self-replicating malicious programs that represent a major security threat for the Internet, as they can infect and damage a large number of vulnerable hosts at timescal...
Spyros Antonatos, Periklis Akritidis, Evangelos P....
SWWS
2007
15 years 7 months ago
Modeling an Ontology for Managing Contexts in Smart Meeting Space
- In recent years, computing becomes more mobile and pervasive; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly d...
Mohammad Rezwanul Huq, Nguyen Thi Thanh Tuyen, You...
CORR
2010
Springer
198views Education» more  CORR 2010»
15 years 6 months ago
Space and the Synchronic A-Ram
Space is a spatial programming language designed to exploit the massive parallelism available in a formal model of computation called the Synchronic A-Ram, and physically related ...
Alexander Victor Berka