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ICCV
2003
IEEE
16 years 8 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
ICDCS
2010
IEEE
15 years 10 months ago
Sifting through Network Data to Cull Activity Patterns with HEAPs
—Today’s large campus and enterprise networks are characterized by their complexity, i.e. containing thousands of hosts, and diversity, i.e. with various applications and usage...
Esam Sharafuddin, Yu Jin, Nan Jiang, Zhi-Li Zhang
ICT
2004
Springer
145views Communications» more  ICT 2004»
16 years 2 days ago
Design and Implementation of an ANTS-Based Test Bed for Collecting Data in Active Framework
The active networks approach has been presented as an alternative technology for solving several problems in conventional networks, mainly in the network management area. This work...
V. Damasceno Matos, Jorge Luis de Castro e Silva, ...
MVA
1996
164views Computer Vision» more  MVA 1996»
15 years 8 months ago
3D Data Driven Prediction for Active Contour Models with Application to Car Tracking
In this paper we apply a new data driven 3D prediction step for active contour models to car tracking on highways. The so called 3D bounding volume (BV) is a coarse 3D representat...
Joachim Denzler, Heinrich Niemann
DMIN
2006
138views Data Mining» more  DMIN 2006»
15 years 8 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel