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» Aggregation-based model reduction of a Hidden Markov Model
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TSP
2010
14 years 10 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
120
Voted
GLOBECOM
2007
IEEE
15 years 10 months ago
Iterative Decoding of Concatenated Channel Coding and Trellis Shaping Based on Markov Model
—The trellis shaping (TS) is an effective technique not only for average power reduction of high-order QAM signals, but also for peak power reduction of band-limited single-carri...
Makoto Tanahashi, Hideki Ochiai
CSL
1999
Springer
15 years 3 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland
JMLR
2012
13 years 6 months ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
128
Voted
ROMAN
2007
IEEE
176views Robotics» more  ROMAN 2007»
15 years 10 months ago
Action Recognition and Understanding using Motor Primitives
— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative suppor...
Ville Kyrki, Isabel Serrano Vicente, Danica Kragic...