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119
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BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
15 years 9 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
141
Voted
ICCV
2005
IEEE
15 years 8 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
137
Voted
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 4 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
102
Voted
IPPS
2003
IEEE
15 years 8 months ago
Design and Evaluation of a Parallel HOP Clustering Algorithm for Cosmological Simulation
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
CVPR
2005
IEEE
16 years 4 months ago
Learning Spatiotemporal T-Junctions for Occlusion Detection
The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly stro...
Nicholas Apostoloff, Andrew W. Fitzgibbon