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PE
2010
Springer
138views Optimization» more  PE 2010»
15 years 4 months ago
Trace data characterization and fitting for Markov modeling
We propose a trace fitting algorithm for Markovian Arrival Processes (MAPs) that can capture statistics of any order of interarrival times between measured events. By studying re...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
15 years 12 months ago
Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
Jeremy Pickens, Costas S. Iliopoulos
JMLR
2008
159views more  JMLR 2008»
15 years 6 months ago
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
ICIP
2004
IEEE
16 years 8 months ago
Automatically learning structural units in educational videos with the hierarchical hidden markov models
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui