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» Estimating Likelihoods for Topic Models
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88
Voted
NIPS
1994
15 years 2 months ago
An Input Output HMM Architecture
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
Yoshua Bengio, Paolo Frasconi
109
Voted
ECCV
2002
Springer
16 years 2 months ago
A Layered Motion Representation with Occlusion and Compact Spatial Support
We describe a 2.5D layered representation for visual motion analysis. The representation provides a global interpretation of image motion in terms of several spatially localized fo...
Allan D. Jepson, David J. Fleet, Michael J. Black
109
Voted
SSWMC
2004
15 years 2 months ago
Statistical amplitude scale estimation for quantization-based watermarking
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore the scaling factor has to be accounted for either at the encoder, or at the decoder, prior t...
Ivo D. Shterev, Reginald L. Lagendijk, Richard Heu...
92
Voted
IPMI
1999
Springer
16 years 1 months ago
Continuous Time Dynamic PET Imaging Using List Mode Data
Abstract. We describe a method for computing a continuous time estimate of dynamic changes in tracer density using list mode PET data. The tracer density in each voxel is modeled a...
Thomas E. Nichols, Jinyi Qi, Richard M. Leahy
ICASSP
2010
IEEE
14 years 11 months ago
Identification of linear systems in canonical form through an EM framework
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
Pavlos Papadopoulos, Vassilis Digalakis