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FOCS
1999
IEEE
14 years 2 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
CLEF
2008
Springer
13 years 11 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
ITICSE
2006
ACM
14 years 3 months ago
Fast application development to demonstrate computer graphics concepts
Computer graphics concepts have a high visual component. For that reason, teaching this subject should be enriched with the use of small applications showing concepts like near an...
Pedro Pablo Gómez-Martín, Marco Anto...
MM
2004
ACM
219views Multimedia» more  MM 2004»
14 years 3 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo
MM
2006
ACM
152views Multimedia» more  MM 2006»
14 years 3 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng