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922views
16 years 11 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
121
Voted
ICCV
2003
IEEE
16 years 6 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
ICIP
2003
IEEE
16 years 6 months ago
Smoothing B-spline active contour for fast and robust image and video segmentation
This paper deals with fast image and video segmentation using active contours. Region based active contours using level-sets are powerful techniques for video segmentation but the...
Frédéric Precioso, Michel Barlaud, T...
ICML
2009
IEEE
16 years 5 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
HICSS
2006
IEEE
93views Biometrics» more  HICSS 2006»
15 years 10 months ago
Presenting the Past: A Framework for Facilitating the Externalization and Articulation of User Activities in Desktop Environment
Work processes are conducted in various contexts and they involve different tasks, interruptions, activities and actions. In all of these, tacit knowledge plays a part. Some part ...
Kimmo Wideroos, Samuli Pekkola