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ICCV
2003
IEEE
16 years 4 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
BMCBI
2006
148views more  BMCBI 2006»
15 years 2 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
SSDBM
2003
IEEE
160views Database» more  SSDBM 2003»
15 years 7 months ago
The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
Ian T. Foster
PKDD
2005
Springer
155views Data Mining» more  PKDD 2005»
15 years 8 months ago
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
How can we generate realistic graphs? In addition, how can we do so with a mathematically tractable model that makes it feasible to analyze their properties rigorously? Real graphs...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 7 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...