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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 4 months ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
EUMAS
2006
14 years 11 months ago
Using Cooperative Agent Negotiation for Ontology Mapping
Well-known approaches for the ontology mapping can be grouped into lexical, semantic, and structural ones. We assume that the approaches are complementary to each other and their ...
Cássia Trojahn dos Santos, Márcia Cr...
CVPR
2010
IEEE
14 years 10 months ago
Anomaly detection in crowded scenes
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno V...
IJCV
2008
167views more  IJCV 2008»
14 years 10 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
JODS
2008
179views Data Mining» more  JODS 2008»
14 years 9 months ago
A Cooperative Approach for Composite Ontology Mapping
This paper proposes a cooperative approach for composite ontology mapping. We first present an extended classification of automated ontology matching and propose an automatic compo...
Cássia Trojahn dos Santos, Márcia Cr...