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» Incremental Construction of Structured Hidden Markov Models
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PLDI
2010
ACM
14 years 3 months ago
Finding low-utility data structures
Many opportunities for easy, big-win, program optimizations are missed by compilers. This is especially true in highly layered Java applications. Often at the heart of these misse...
Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas ...
ICML
2010
IEEE
13 years 11 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
ISMIR
2005
Springer
168views Music» more  ISMIR 2005»
14 years 4 months 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
CVIU
2008
126views more  CVIU 2008»
13 years 10 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
IVC
2000
153views more  IVC 2000»
13 years 10 months ago
The model-based human body motion analysis system
In this paper, we propose a model-based method to analyze the human walking motion. This system consists of three phases: the preprocessing phase, the model construction phase, an...
I-Cheng Chang, Chung-Lin Huang