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PAMI
2011
14 years 7 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang
ANCS
2009
ACM
14 years 10 months ago
Progressive hashing for packet processing using set associative memory
As the Internet grows, both the number of rules in packet filtering databases and the number of prefixes in IP lookup tables inside the router are growing. The packet processing e...
Michel Hanna, Socrates Demetriades, Sangyeun Cho, ...
COMSIS
2011
14 years 4 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic
ICML
2010
IEEE
15 years 1 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
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JMIV
2007
92views more  JMIV 2007»
15 years 18 days ago
Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency
There are many watershed transform algorithms in literature but most of them do not exactly correspond to their respective definition. The solution given by such algorithms depend...
Romaric Audigier, Roberto de Alencar Lotufo