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» Probabilistic topic modeling for genomic data interpretation
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CVPR
2007
IEEE
15 years 11 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
NIPS
2001
14 years 10 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
67
Voted
HICSS
2003
IEEE
166views Biometrics» more  HICSS 2003»
15 years 2 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 3 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 6 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...