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» Opportunistic Data Structures with Applications
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 5 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICCD
2008
IEEE
126views Hardware» more  ICCD 2008»
15 years 11 months ago
Accelerating search and recognition with a TCAM functional unit
Abstract— World data is increasing rapidly, doubling almost every three years[1][2]. To comprehend and use this data effectively, search and recognition (SR) applications will de...
Atif Hashmi, Mikko Lipasti
BILDMED
2007
134views Algorithms» more  BILDMED 2007»
15 years 6 months ago
Generation of Hulls Encompassing Neuronal Pathways Based on Tetrahedralization and 3D Alpha Shapes
Abstract. Diffusion tensor imaging provides information about structure and location of white matter tracts within the human brain which is of particular interest for neurosurgery...
Dorit Merhof, Martin Meister, Ezgi Bingöl, Pe...
CCS
2007
ACM
15 years 11 months ago
Provably secure ciphertext policy ABE
In ciphertext policy attribute-based encryption (CP-ABE), every secret key is associated with a set of attributes, and every ciphertext is associated with an access structure on a...
Ling Cheung, Calvin C. Newport
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
15 years 11 months ago
Optimal Segmentation Using Tree Models
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
Robert Gwadera, Aristides Gionis, Heikki Mannila