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» The Dark Side of Object Learning: Learning Objects
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117
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IAJIT
2010
96views more  IAJIT 2010»
15 years 2 months ago
A Data Mashup for Dynamic Composition of Adaptive Courses
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
Mohammed Al-Zoube, Baha Khasawneh
136
Voted
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
14 years 10 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
203
Voted
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
15 years 2 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
209
Voted
CVPR
2009
IEEE
16 years 11 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
125
Voted
CVPR
2008
IEEE
16 years 5 months ago
Re-thinking non-rigid structure from motion
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
Vincent Rabaud, Serge Belongie