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WINET
2011
13 years 3 months ago
Aggregation convergecast scheduling in wireless sensor networks
Abstract—We consider the problem of aggregation convergecast scheduling in wireless sensor networks. Aggregation convergecast differs from regular convergecast in that it accommo...
Baljeet Malhotra, Ioanis Nikolaidis, Mario A. Nasc...
PAMI
2010
260views more  PAMI 2010»
13 years 7 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
PAMI
2010
174views more  PAMI 2010»
13 years 7 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 6 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
ISCA
1998
IEEE
102views Hardware» more  ISCA 1998»
14 years 1 months ago
Dynamic History-length Fitting: A Third Level of Adaptivity for Branch Prediction
Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors that execute instructions speculatively. Some of the best current predic...
Toni Juan, Sanji Sanjeevan, Juan J. Navarro