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ICCV
2007
IEEE
16 years 5 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICML
2005
IEEE
16 years 4 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
16 years 3 months ago
Efficient lineage tracking for scientific workflows
Data lineage and data provenance are key to the management of scientific data. Not knowing the exact provenance and processing pipeline used to produce a derived data set often re...
Thomas Heinis, Gustavo Alonso
SEFM
2009
IEEE
15 years 10 months ago
Specifying Interacting Components with Coordinated Concurrent Scenarios
Abstract. We introduce a visual notation for local specification of concurrent components based on message sequence charts (MSCs). Each component is a finite-state machine whose ...
Prakash Chandrasekaran, Madhavan Mukund
ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
15 years 9 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein