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» Motion estimation from compressed linear measurements
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NIPS
2007
13 years 8 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
ICIP
2005
IEEE
14 years 9 months ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes
ICIP
2005
IEEE
14 years 9 months ago
An efficient Rao-Blackwellized particle filter for object tracking
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
Étienne Mémin, Elise Arnaud
IPMI
1999
Springer
14 years 8 months ago
MEG Source Imaging Using Multipolar Expansions
We describe the use of truncated multipolar expansions for producing dynamic images of cortical neural activation from measurements of the magnetoencephalogram. We use a signal-sub...
John C. Mosher, Richard M. Leahy, David W. Shattuc...
ICASSP
2007
IEEE
14 years 1 months ago
Analysis of Musical Instrument Sounds by Source-Filter-Decay Model
This paper proposes a way of modelling the time-varying spectral energy distribution of musical instrument sounds. The model consists of an excitation signal, a body response fil...
Anssi Klapuri