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CVPR
2009
IEEE
15 years 4 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert
CVPR
1999
IEEE
14 years 11 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
ICDE
2002
IEEE
143views Database» more  ICDE 2002»
14 years 10 months ago
Discovering Similar Multidimensional Trajectories
We investigate techniques for analysis and retrieval of object trajectories in a two or three dimensional space. Such kind of data usually contain a great amount of noise, that ma...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
ICML
2005
IEEE
14 years 9 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
OSDI
2008
ACM
14 years 9 months ago
Lightweight, High-Resolution Monitoring for Troubleshooting Production Systems
Production systems are commonly plagued by intermittent problems that are difficult to diagnose. This paper describes a new diagnostic tool, called Chopstix, that continuously col...
Sapan Bhatia, Abhishek Kumar, Marc E. Fiuczynski, ...