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CORR
2007
Springer
126views Education» more  CORR 2007»
14 years 9 months ago
Interference and Outage in Clustered Wireless Ad Hoc Networks
—In the analysis of large random wireless networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. In this paper, th...
Radha Krishna Ganti, Martin Haenggi
80
Voted
ICML
2008
IEEE
15 years 10 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
IEAAIE
2010
Springer
14 years 7 months ago
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfi...
Jorge García-Gutiérrez, Francisco Ma...
ICML
2008
IEEE
15 years 10 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
74
Voted
JMLR
2010
103views more  JMLR 2010»
14 years 4 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider