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» Incremental labeling in closed-2PM model
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SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
15 years 10 months 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...
ASE
2008
135views more  ASE 2008»
15 years 6 months ago
Deriving event-based transition systems from goal-oriented requirements models
Goal-oriented methods are increasingly popular for elaborating software requirements. They offer systematic support for incrementally building intentional, structural, and operati...
Emmanuel Letier, Jeff Kramer, Jeff Magee, Sebasti&...
ECCV
2008
Springer
16 years 8 months ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 12 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
16 years 20 days ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic