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» On the Minimal Embedding Field
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ICSE
2009
IEEE-ACM
16 years 1 months ago
Deployment automation with BLITZ
Minimizing the computing infrastructure (such as processors) in a distributed real-time embedded (DRE) system deployment helps reduce system size, weight, power consumption, and c...
Brian Dougherty, Jules White, Jaiganesh Balasubram...
IH
2004
Springer
15 years 11 months ago
Information Hiding in Finite State Machine
In this paper, we consider how to hide information into finite state machine (FSM), one of the popular computation models. The key advantage of hiding information in FSM is that t...
Lin Yuan, Gang Qu
MICCAI
2005
Springer
15 years 11 months ago
Learning Best Features for Deformable Registration of MR Brains
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
Guorong Wu, Feihu Qi, Dinggang Shen
CORR
2008
Springer
120views Education» more  CORR 2008»
15 years 6 months ago
Optimal Energy Management Policies for Energy Harvesting Sensor Nodes
We study a sensor node with an energy harvesting source. The generated energy can be stored in a buffer. The sensor node periodically senses a random field and generates a packet....
Vinod Sharma, Utpal Mukherji, Vinay Joseph, Shrey ...
ICML
2009
IEEE
15 years 4 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...