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CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
15 years 5 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
MICCAI
2007
Springer
16 years 2 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
SERVICES
2008
71views more  SERVICES 2008»
15 years 3 months ago
Using Problems to Learn Service-Oriented Computing
Service-oriented computing and the ensuing science of services represent significant challenges to academia. As we come to grips with its many implications, we are slowly beginnin...
Sandeep Purao, Vijay K. Vaishnavi, John W. Bagby, ...
ISWC
2003
IEEE
15 years 7 months ago
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
Andreas Krause, Daniel P. Siewiorek, Asim Smailagi...
104
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ICASSP
2009
IEEE
15 years 8 months ago
Wildfire detection using LMS based active learning
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...
B. Ugur Töreyin, A. Enis Çetin