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» An Introduction to Learning Structured Information
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IJET
2006
112views more  IJET 2006»
15 years 3 months ago
Personalized E-Learning in the Semantic Web
: The challenge of the semantic web is the provision of distributed information with well defined meaning, understandable for different parties. Particularly, applications should b...
Nicola Henze
SADM
2010
194views more  SADM 2010»
15 years 2 months ago
Seriation and matrix reordering methods: An historical overview
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
Innar Liiv
ICONIP
2010
15 years 1 months ago
Emergence of Highly Nonrandom Functional Synaptic Connectivity Through STDP
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...
Hideyuki Kato, Tohru Ikeguchi
154
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CVPR
2007
IEEE
16 years 6 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
CVPR
2008
IEEE
16 years 6 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...