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» Hidden Markov Models with Multiple Observation Processes
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272
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 4 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
TASLP
2008
140views more  TASLP 2008»
15 years 4 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
INFOCOM
2009
IEEE
15 years 10 months ago
Structured Admission Control Policy in Heterogeneous Wireless Networks with Mesh Underlay
—In this paper, we investigate into optimal admission control policies for Heterogeneous Wireless Networks (HWN), considering an integration of wireless mesh networks with an ove...
Amin Farbod, Ben Liang
116
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Non-parallel training for many-to-many eigenvoice conversion
This paper presents a novel training method of an eigenvoice Gaussian mixture model (EV-GMM) effectively using non-parallel data sets for many-to-many eigenvoice conversion, which...
Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Ki...
CIKM
2005
Springer
15 years 9 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan