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PAMI
2010
113views more  PAMI 2010»
13 years 10 months ago
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
PAMI
2010
192views more  PAMI 2010»
13 years 10 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
OR
2010
Springer
13 years 10 months ago
Modeling organic carbon and carbon-mediated soil processes in DSSAT v4.5
Cropping systems models have evolved over the last four decades in response to the demand for modeling to address more complex questions, including issues on sustainable productio...
Cheryl H. Porter, J. W. Jones, S. Adiku, A. J. Gij...
OOPSLA
2010
Springer
13 years 10 months ago
Collaborative model merging
Models are important artifacts in the software development life-cycle and are often the result of a collaborative activity of multiple developers. When multiple developers modify ...
Maximilian Koegel, Helmut Naughton, Jonas Helming,...
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 10 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
MICS
2010
134views more  MICS 2010»
13 years 10 months ago
Scale Free Properties of Random k-Trees
Scale free graphs have attracted attention as their non-uniform structure that can be used as a model for many social networks including the WWW and the Internet. In this paper, w...
Colin Cooper, Ryuhei Uehara
MICCAI
2010
Springer
13 years 10 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...
MICCAI
2010
Springer
13 years 10 months ago
Understanding the Optics to Aid Microscopy Image Segmentation
Abstract. Image segmentation is essential for many automated microscopy image analysis systems. Rather than treating microscopy images as general natural images and rushing into th...
Zhaozheng Yin, Kang Li, Takeo Kanade, Mei Chen
LPAR
2010
Springer
13 years 10 months ago
On the Complexity of Model Expansion
Abstract. We study the complexity of model expansion (MX), which is the problem of expanding a given finite structure with additional relations to produce a finite model of a giv...
Antonina Kolokolova, Yongmei Liu, David G. Mitchel...
JUCS
2010
150views more  JUCS 2010»
13 years 10 months ago
Situation-Aware Community Computing Model for Developing Dynamic Ubiquitous Computing Systems
: For many complex and dynamic ubiquitous services, context-aware cooperation can be a solution. However, the way is not yet clear to make individual objects cooperate with each ot...
Youna Jung, Minsoo Kim