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Author
- Emonet, Rémi (1)
- Odobez, Jean-Marc (1)
- Varadarajan, Jagannadan (1)
Keyword
- $$\lambda _{bic}$$ : Penalty term weight in BIC equation (1)
- $$\lambda _{z,d}$$ : Sparsity constraint weight (1)
- $$\mathcal{D }$$ : Dataset, count matrices of the form $${ n}({ w},{{t_a}},{ d})$$ (1)
- $$\varTheta $$ : Model parameters { $$P({ z}|{ d}), P({t_s}|{ z},{ d}), P({ w},{{t_r}}|{ z})$$ } (1)
- $${ D}$$ : Number of temporal documents (1)
- $${ d}$$ : Temporal document index (1)
- $${ w}$$ : Word index (SLA patterns for real data. See Sect.5.) (1)
- $${ z}$$ : Motif index (1)
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$${N_w}$$ : Vocabulary size (number of different words) (1)
- $${N_z}$$ : Number of motifs (1)
- $${T_d}$$ : Duration of the temporal document (1)
- $${T_z}$$ : Maximum duration of a motif (1)
- $${T_{ds}}$$ : Number of motif start time indices in a temporal document (1)
- $${t_s}$$ : Start time of a motif (1)
- $${{t_a}}$$ : Absolute time index in temporal documents (1)
- $${{t_r}}$$ : Relative time from the start of the motif (1)
- Activity analysis (1)
- Latent sequential patterns (1)
- PLSA (1)
- Topic models (1)
- Unsupervised (1)
- Video surveillance (1) More Less