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» Estimating Likelihoods for Topic Models
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NIPS
1998
13 years 11 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
SIROCCO
2008
13 years 11 months ago
Recovering the Long-Range Links in Augmented Graphs
The augmented graph model, as introduced by Kleinberg (STOC 2000), is an appealing model for analyzing navigability in social networks. Informally, this model is defined by a pair...
Pierre Fraigniaud, Emmanuelle Lebhar, Zvi Lotker
AVBPA
2005
Springer
320views Biometrics» more  AVBPA 2005»
14 years 3 months ago
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems
A multimodal biometric system integrates information from multiple biometric sources to compensate for the limitations in performance of each individual biometric system. We propos...
Sarat C. Dass, Karthik Nandakumar, Anil K. Jain
ICVS
1999
Springer
14 years 2 months ago
Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Tony Jebara, Alex Pentland
CAIP
2007
Springer
194views Image Analysis» more  CAIP 2007»
14 years 1 months ago
A New Wavelet-Based Texture Descriptor for Image Retrieval
This paper presents a novel texture descriptor based on the wavelet transform. First, we will consider vertical and horizontal coefficients at the same position as the components o...
Esther de Ves, Ana M. C. Ruedin, Daniel G. Acevedo...