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JAIR
2006
110views more  JAIR 2006»
14 years 9 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
15 years 10 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
ECCV
2008
Springer
15 years 11 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
RTAS
2011
IEEE
14 years 1 months ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
ENTCS
2007
140views more  ENTCS 2007»
14 years 9 months ago
Secured Information Flow for Asynchronous Sequential Processes
We present in this article a precise security model for data confidentiality in the framework of ASP (Asynchronous Sequential Processes). ASP is based on active objects, asynchro...
Isabelle Attali, Denis Caromel, Ludovic Henrio, Fe...