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» Capturing both Types and Constraints in Data Integration
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ICALT
2009
IEEE
14 years 2 months ago
Integrating Co-design Practices into the Development of Mobile Science Collaboratories
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for fieldbased inquiries incorpora...
Daniel Spikol, Marcelo Milrad, Heidy Maldonado, Ro...
CIVR
2006
Springer
129views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Retrieving Objects Using Local Integral Invariants
The use of local features in computer vision has shown to be promising. Local features have several advantages including invariance to image transformations, independence of the ba...
Alaa Halawani, Hashem Tamimi
IWMMDBMS
1998
92views more  IWMMDBMS 1998»
13 years 9 months ago
Version Management and Recoverability for Large Object Data
Most applications that access large data objects do so through file systems, but file systems provide an incomplete solution, as they maintain insufficient metadata and do not pro...
Randal C. Burns, Inderpal Narang
WEBI
2010
Springer
13 years 5 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
ICFP
2006
ACM
14 years 7 months ago
OCaml + XDuce
This paper presents the core type system and type inference algorithm of OCamlDuce, a merger between OCaml and XDuce. The challenge was to combine two type checkers of very differ...
Alain Frisch