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JCNS
2010
90views more  JCNS 2010»
15 years 1 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
AAAI
2012
13 years 9 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
CVPR
2010
IEEE
16 years 3 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 11 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
DAC
2005
ACM
16 years 7 months ago
Device and architecture co-optimization for FPGA power reduction
Device optimization considering supply voltage Vdd and threshold voltage Vt tuning does not increase chip area but has a great impact on power and performance in the nanometer tec...
Lerong Cheng, Phoebe Wong, Fei Li, Yan Lin, Lei He