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PASTE
2004
ACM
16 years 20 days ago
Resolving and applying constraint queries on context-sensitive analyses
A context-sensitive analysis is an analysis in which program elements are assigned sets of properties that depend upon the context in which they occur. For analyses on imperative ...
James Ezick
AMAI
2004
Springer
16 years 19 days ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
CRYPTO
1993
Springer
137views Cryptology» more  CRYPTO 1993»
15 years 11 months ago
Broadcast Encryption
A broadcast encryption scheme allows the sender to securely distribute data to a dynamically changing set of users over an insecure channel. One of the most challenging settings fo...
Amos Fiat, Moni Naor
CVPR
2009
IEEE
17 years 3 months ago
Recognizing Linked Events: Searching the Space of Feasible Explanations
The ambiguity inherent in a localized analysis of events from video can be resolved by exploiting constraints between events and examining only feasible global explanations. We sho...
Dima Damen (University of Leeds), David Hogg (Univ...
CVPR
1996
IEEE
16 years 9 months ago
MUSE: Robust Surface Fitting using Unbiased Scale Estimates
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...
James V. Miller, Charles V. Stewart