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TWC
2008
176views more  TWC 2008»
15 years 5 months ago
Asynchronous distributed power and rate control in ad hoc networks: a game-theoretic approach
This paper analyzes distributed asynchronous power and rate control for wireless ad hoc networks. Importantly, all network transmitters are considered to be independent of any mana...
Stepán Kucera, Sonia Aïssa, Koji Yamam...
BC
2002
84views more  BC 2002»
15 years 5 months ago
Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates
Synaptic plasticity is believed to underlie the formation of appropriate patterns of connectivity that stabilize stimulus-selective reverberations in the cortex. Here we present a ...
Stefano Fusi
174
Voted
IJCV
2000
164views more  IJCV 2000»
15 years 5 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
JAIR
2000
152views more  JAIR 2000»
15 years 5 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 3 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....