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» Automatic labeling of multinomial topic models
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KDD
2007
ACM
206views Data Mining» more  KDD 2007»
14 years 5 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
ACL
2011
12 years 8 months ago
Automatic Labelling of Topic Models
Jey Han Lau, Karl Grieser, David Newman, Timothy B...
ICASSP
2011
IEEE
12 years 8 months ago
Automatic video annotation via Hierarchical Topic Trajectory Model considering cross-modal correlations
We propose a new statistical model, named Hierarchical Topic Trajectory Model (HTTM), for acquiring a dynamically changing topic model that represents the relationship between vid...
Takuho Nakano, Akisato Kimura, Hirokazu Kameoka, S...
ICASSP
2011
IEEE
12 years 8 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
MM
2009
ACM
269views Multimedia» more  MM 2009»
13 years 11 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...