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CVPR
2012
IEEE
13 years 9 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
HVEI
2010
15 years 8 months ago
Perceptual quality assessment of color images using adaptive signal representation
Perceptual image distortion measures can play a fundamental role in evaluating and optimizing imaging systems and image processing algorithms. Many existing measures are formulate...
Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
APSCC
2008
IEEE
16 years 1 months ago
Adaptive Learning Sequencing for Course Customization: A Web Service Approach
— We discuss a learning model that enables the creation of optimal learning strategies that suit learners’ needs. A customized learning content is delivered to learners as mana...
Ivan Madjarov, Abdelkader Bétari
DSRT
2006
IEEE
16 years 1 months ago
Adaptive Interest Management via Push-Pull Algorithms
Interest Management in large-scale distributed applications aims to reduce the amount of extraneous broadcast communication between nodes in the system with the aim of increasing ...
Rob Minson, Georgios K. Theodoropoulos
ISMIR
2005
Springer
170views Music» more  ISMIR 2005»
16 years 20 days ago
Applications of Binary Classification and Adaptive Boosting to the Query-By-Humming Problem
In the “query-by-humming” problem, we attempt to retrieve a specific song from a target set based on a sung query. Recent evaluations of query-by-humming systems show that th...
Charles L. Parker