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» A Bayesian Approach to Semi-Supervised Learning
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ICCV
2007
IEEE
14 years 10 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
ICIAP
2007
ACM
14 years 8 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino
AIME
2005
Springer
14 years 2 months ago
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System
We have developed an algorithm for triaging acute pediatric abdominal pain in the Emergency Department using the discovery-driven approach. This algorithm is embedded into the MET-...
Jerzy Blaszczynski, Ken Farion, Wojtek Michalowski...
NIPS
2003
13 years 10 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck
ECML
2006
Springer
14 years 10 days ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting