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124
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CVPR
2011
IEEE
14 years 11 months ago
Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
Zhiding Yu, Oscar Au, Ketan Tang
92
Voted
ACL
2009
15 years 18 days ago
Bypassed alignment graph for learning coordination in Japanese sentences
Past work on English coordination has focused on coordination scope disambiguation. In Japanese, detecting whether coordination exists in a sentence is also a problem, and the sta...
Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji M...
ML
2011
ACM
179views Machine Learning» more  ML 2011»
14 years 9 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
129
Voted
BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
15 years 9 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
129
Voted
IOR
2011
107views more  IOR 2011»
14 years 9 months ago
Information Collection on a Graph
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
Ilya O. Ryzhov, Warren B. Powell