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ICML
2001
IEEE
14 years 10 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
13 years 9 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...
IGARSS
2009
13 years 7 months ago
Optimum Sampling Scheme for Characterization of Mine Tailings
The paper describes a novice method for sampling geochemicals to characterize mine tailings. We model the spatial relationships between a multi-element signature and, as covariate...
Pravesh Debba, Emmanuel John M. Carranza, Alfred S...
CG
2007
Springer
13 years 9 months ago
Visualizing and animating the winged-edge data structure
The winged- and half- edge data structures are commonly used representations for polyhedron models. Due to the complexity, students in an introductory to computer graphics course ...
Bryan Neperud, John L. Lowther, Ching-Kuang Shene
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 10 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...