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» Harmonic analysis with probabilistic graphical models
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MM
2009
ACM
269views Multimedia» more  MM 2009»
14 years 8 days 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...
ICDAR
2009
IEEE
14 years 15 days ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
CG
2004
Springer
13 years 5 months ago
Illumination-dependent texture
In this paper, we propose an image-based texture model called IlluminationDependent Texture(IDT), for realisticly rendering objects covered with 3D texture under low-frequency ill...
Chunhui Mei, Fuli Wu, Jiaoying Shi
ICIAR
2004
Springer
13 years 11 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 6 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...