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» Hidden Markov Models with Multiple Observation Processes
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128
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HSNMC
2004
Springer
158views Multimedia» more  HSNMC 2004»
15 years 9 months ago
HMM-Based Monitoring of Packet Channels
Abstract. Performance of real-time applications on network communication channels are strongly related to losses and temporal delays. Several studies showed that these network feat...
Pierluigi Salvo Rossi, Francesco Palmieri, Giulio ...
110
Voted
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Two-Layer Generative Models for Sport Video Mining
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
Yi Ding, Guoliang Fan, W. Bryan
EMNLP
2004
15 years 5 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
132
Voted
AAAI
2007
15 years 6 months ago
On the Partial Observability of Temporal Uncertainty
We explore a means to both model and reason about partial observability within the scope of constraintbased temporal reasoning. Prior studies of uncertainty in Temporal CSPs have ...
Michael D. Moffitt
DAGSTUHL
2007
15 years 5 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...