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» Aggregation-based model reduction of a Hidden Markov Model
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ERCIMDL
2007
Springer
159views Education» more  ERCIMDL 2007»
14 years 27 days ago
Reducing Costs for Digitising Early Music with Dynamic Adaptation
Abstract. Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition erro...
Laurent Pugin, John Ashley Burgoyne, Ichiro Fujina...
IUI
2005
ACM
14 years 8 days ago
How to wreck a nice beach you sing calm incense
A principal problem in speech recognition is distinguishing between words and phrases that sound similar but have different meanings. Speech recognition programs produce a list of...
Henry Lieberman, Alexander Faaborg, Waseem Daher, ...
ISMIR
2005
Springer
168views Music» more  ISMIR 2005»
14 years 6 days ago
A Novel HMM Approach to Melody Spotting in Raw Audio Recordings
This paper presents a melody spotting system based on Variable Duration Hidden Markov Models (VDHMM’s), capable of locating monophonic melodies in a database of raw audio record...
Aggelos Pikrakis, Sergios Theodoridis
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
13 years 10 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
FAST
2010
13 years 9 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...