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» Probabilistic topic modeling for genomic data interpretation
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111
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CVPR
2007
IEEE
16 years 3 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen
143
Voted
NIPS
2001
15 years 3 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
HICSS
2003
IEEE
166views Biometrics» more  HICSS 2003»
15 years 7 months ago
Comparative Genome Annotation for Mapping, Prediction and Discovery of Genes
We have used comparative genome analyses to produce annotated maps for large genomic loci. The first example is a locus on mouse chromosome 9 that is syntenic to human chromosome ...
Claudia Kappen, J. Michael Salbaum
MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 8 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...
AAAI
2010
14 years 11 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...