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PRL
2008
118views more  PRL 2008»
13 years 8 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
CVPR
2010
IEEE
14 years 5 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
NIPS
2007
13 years 10 months ago
Density Estimation under Independent Similarly Distributed Sampling Assumptions
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
Tony Jebara, Yingbo Song, Kapil Thadani
ICML
2004
IEEE
14 years 9 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
IROS
2009
IEEE
148views Robotics» more  IROS 2009»
14 years 3 months ago
A computer vision integration model for a multi-modal cognitive system
— We present a general method for integrating visual components into a multi-modal cognitive system. The integration is very generic and can work with an arbitrary set of modalit...
Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leon...