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» A Graph Based Data Model for Graphics Interpretation
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176
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SIGGRAPH
1992
ACM
15 years 7 months ago
Generative modeling: a symbolic system for geometric modeling
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
John M. Snyder, James T. Kajiya
149
Voted
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 9 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
163
Voted
DEXAW
2005
IEEE
170views Database» more  DEXAW 2005»
15 years 9 months ago
Functional Annotation of Genes through Statistical Analysis of Biomedical Articles
One of the most elaborate and important tasks in biology is the functional annotation of genes. Biologists have developed standardized and structured vocabularies, called bio-onto...
Theodosios Theodosiou, Lefteris Angelis, Athena Va...
147
Voted
BMCBI
2010
174views more  BMCBI 2010»
15 years 3 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
128
Voted
ICCS
2007
Springer
15 years 9 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...