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» Approximate Data Structures with Applications
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SIGSOFT
2006
ACM
15 years 3 months ago
Interpolation for data structures
Interpolation based automatic abstraction is a powerful and robust technique for the automated analysis of hardware and software systems. Its use has however been limited to contr...
Deepak Kapur, Rupak Majumdar, Calogero G. Zarba
ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
14 years 7 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
ICASSP
2009
IEEE
15 years 4 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
ICICS
2007
Springer
15 years 1 months ago
Time and Space Efficient Algorithms for Two-Party Authenticated Data Structures
Authentication is increasingly relevant to data management. Data is being outsourced to untrusted servers and clients want to securely update and query their data. For example, in ...
Charalampos Papamanthou, Roberto Tamassia
ICIP
2006
IEEE
15 years 11 months ago
Hierarchical Data Structure for Real-Time Background Subtraction
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...
Johnny Park, Amy Tabb, Avinash C. Kak