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» New Paradigm of Inference Control with Trusted Computing
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BMCBI
2010
147views more  BMCBI 2010»
13 years 7 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
ESCIENCE
2007
IEEE
13 years 11 months ago
Formal Modeling and Analysis of Scientific Workflows Using Hierarchical State Machines
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
Ping Yang, Zijiang Yang, Shiyong Lu
CDC
2008
IEEE
14 years 2 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
COMCOM
2008
138views more  COMCOM 2008»
13 years 7 months ago
Secure content access and replication in pure P2P networks
Despite the advantages offered by pure Peer-to-Peer (P2P) networks (e.g. robustness and fault tolerance), a crucial requirement is to guarantee basic security properties, such as ...
Esther Palomar, Juan M. Estévez-Tapiador, J...
CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...