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CVPR
2009
IEEE
15 years 4 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
EDM
2008
169views Data Mining» more  EDM 2008»
13 years 10 months ago
Mining Student Behavior Models in Learning-by-Teaching Environments
This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
Hogyeong Jeong, Gautam Biswas
IJLT
2010
115views more  IJLT 2010»
13 years 7 months ago
Computer supported ubiquitous learning environment for vocabulary learning
: Ubiquitous computing could help the organisation and the mediation of social interactions wherever and whenever these situations might occur. Using those technologies enables the...
Hiroaki Ogata, Chengjiu Yin, Moushir M. El-Bishout...
ICML
2005
IEEE
14 years 9 months ago
Object correspondence as a machine learning problem
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
Bernhard Schölkopf, Florian Steinke, Volker B...
ICANN
2005
Springer
14 years 2 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner