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» Online kernel density estimation for interactive learning
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197
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CVPR
2009
IEEE
17 years 1 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
201
Voted
ICASSP
2011
IEEE
14 years 10 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
229
Voted

Publication
252views
15 years 9 months ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis
217
Voted
BMCBI
2008
149views more  BMCBI 2008»
15 years 6 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
160
Voted
ICIP
2007
IEEE
16 years 8 months ago
Distancecut: Interactive Segmentation and Matting of Images and Videos
An interactive algorithm for soft segmentation and matting of natural images and videos is presented in this paper. The technique follows and extends [10], where the user first ro...
Xue Bai, Guillermo Sapiro