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» Selectivity Estimation using Probabilistic Models
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ICIP
2005
IEEE
16 years 1 months ago
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
NIPS
2003
15 years 1 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
ICC
2007
IEEE
133views Communications» more  ICC 2007»
15 years 6 months ago
Symbol Error Rate of OFDM Systems with Carrier Frequency Offset and Channel Estimation Error in Frequency Selective Fading Chann
— In this paper we present an analytical approach to evaluate the symbol error rate (SER) of OFDM systems subject to carrier frequency offset (CFO) and channel estimation error i...
Marco Krondorf, Ting-Jung Liang, Gerhard Fettweis
IPM
2008
102views more  IPM 2008»
14 years 11 months ago
Fast exact maximum likelihood estimation for mixture of language model
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Yi Zhang 0001, Wei Xu
ISCAS
2007
IEEE
80views Hardware» more  ISCAS 2007»
15 years 6 months ago
Probabilistic Modelling of Phase-tuned Disparity Energy Neuron Populations
- We present a low dimensional Bayes probabilistic model for the population of binocular disparity energy neurons centered at the same retinal location, but selective to different ...
Eric K. C. Tsang, Bertram Emil Shi