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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
16 years 16 days ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
DAGM
2004
Springer
16 years 9 days ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
ECCV
2004
Springer
16 years 9 days ago
Statistical Imaging for Modeling and Identification of Bacterial Types
An automatic tool is developed to identify microbiological data types using computer-vision and statistical modeling techniques. In bacteriophage (phage) typing, representative pro...
Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shim...
3DIM
1999
IEEE
15 years 11 months ago
Virtual Environment Modeling by Integrated Optical and Acoustic Sensing
In this paper, the problem of underwater scene understanding from multisensory data is addressed. Acoustic and optical devices onboard an underwater vehicle are used to sense the ...
Andrea Fusiello, Riccardo Giannitrapani, V. Isaia,...