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CVPR
2010
IEEE
14 years 4 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
AAAI
1998
13 years 9 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
14 years 23 days ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 8 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
RTSS
2009
IEEE
14 years 3 months ago
On the Scheduling of Mixed-Criticality Real-Time Task Sets
Abstract—The functional consolidation induced by the costreduction trends in embedded systems can force tasks of different criticality (e.g. ABS Brakes with DVD) to share a proce...
Dionisio de Niz, Karthik Lakshmanan, Ragunathan Ra...