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EMMCVPR
2001
Springer
15 years 8 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
ECCV
2004
Springer
16 years 6 months ago
Audio-Video Integration for Background Modelling
This paper introduces a new concept of surveillance, namely, audio-visual data integration for background modelling. Actually, visual data acquired by a fixed camera can be easily ...
Marco Cristani, Manuele Bicego, Vittorio Murino
CHI
2007
ACM
16 years 4 months ago
A predictive model of menu performance
Menus are a primary control in current interfaces, but there has been relatively little theoretical work to model their performance. We propose a model of menu performance that go...
Andy Cockburn, Carl Gutwin, Saul Greenberg
ICDCSW
2011
IEEE
14 years 3 months ago
Cross-Examination of Datacenter Workload Modeling Techniques
Datacenter workload modeling has become a necessity in recent years due to the emergence of large-scale applications and cloud data-stores, whose implementation remains largely un...
Christina Delimitrou, Christos Kozyrakis
ACL
2012
13 years 6 months ago
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
William Yang Wang, Elijah Mayfield, Suresh Naidu, ...