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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
MM
2005
ACM
219views Multimedia» more  MM 2005»
16 years 25 days ago
Pervasive views: area exploration and guidance using extended image media
This work achieves full registration of scenes in a large area and creates visual indexes for visualization in a digital city. We explore effective mapping, indexing, and display ...
Jiang Yu Zheng, Xiaolong Wang
BMCBI
2006
163views more  BMCBI 2006»
15 years 7 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
DSD
2008
IEEE
85views Hardware» more  DSD 2008»
16 years 1 months ago
TASTE: Testability Analysis Engine and Opened Libraries for Digital Data Path
Testability is one of the most important factors that are considered during design cycle along with reliability, speed, power consumption, cost and other factors important for a c...
Josef Strnadel
NIPS
2008
15 years 8 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye