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» Learning Visual Invariance
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CVPR
2012
IEEE
11 years 10 months ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
GI
2007
Springer
14 years 1 months ago
Supporting Early Literacy with Augmented Books - Experiences with an Exploratory Study
: We here report on a study exploring the use of augmented books for early literacy education. Children aged 6-7 interacted alone and in pairs with an AR-book. The study was iterat...
Eva Hornecker, Andreas Dünser
IWANN
2005
Springer
14 years 1 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
ECCV
2010
Springer
14 years 1 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
KDD
2010
ACM
277views Data Mining» more  KDD 2010»
13 years 11 months ago
Growing a tree in the forest: constructing folksonomies by integrating structured metadata
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured ...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor