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» Approximate Data Structures with Applications
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NIPS
2007
15 years 8 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
GRAPHICSINTERFACE
2001
15 years 8 months ago
Aiding Manipulation of Handwritten Mathematical Expressions through Style-Preserving Morphs
We describe a technique for enhancing a user's ability to manipulate hand-printed symbolic information by automatically improving legibility and simultaneously providing imme...
Richard Zanibbi, Kevin Novins, James Arvo, Katheri...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 8 months ago
Spatial Outsourcing for Location-based Services
- The embedding of positioning capabilities in mobile devices and the emergence of location-based applications have created novel opportunities for utilizing several types of multi...
Yin Yang, Stavros Papadopoulos, Dimitris Papadias,...
ICDE
2005
IEEE
121views Database» more  ICDE 2005»
16 years 8 months ago
Top-Down Specialization for Information and Privacy Preservation
Releasing person-specific data in its most specific state poses a threat to individual privacy. This paper presents a practical and efficient algorithm for determining a generaliz...
Benjamin C. M. Fung, Ke Wang, Philip S. Yu
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
16 years 1 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...