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» A Computational Model for Arguments Understanding
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BMCBI
2010
174views more  BMCBI 2010»
15 years 4 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
CVPR
2008
IEEE
16 years 6 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
ICPR
2004
IEEE
16 years 5 months ago
Incorporating Temporal Context with Content for Classifying Image Collections
Semantic scene classification is an open problem in image understanding, especially when information purely from image content (i.e., pixels) is employed. However, in applications...
Jiebo Luo, Matthew R. Boutell
CHI
2005
ACM
16 years 4 months ago
Distract-R: rapid prototyping and evaluation of in-vehicle interfaces
As driver distraction from in-vehicle devices increasingly becomes a concern on our roadways, researchers have searched for better scientific understanding of distraction along wi...
Dario D. Salvucci, Mark Zuber, Ekaterina Beregovai...
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
16 years 1 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu