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» Physical limits of inference
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COLT
2004
Springer
15 years 3 months ago
Replacing Limit Learners with Equally Powerful One-Shot Query Learners
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
Steffen Lange, Sandra Zilles
68
Voted
ICCV
2007
IEEE
15 years 11 months ago
Limits of Learning-Based Superresolution Algorithms
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung T...
DAGSTUHL
1994
14 years 11 months ago
Infrared Image Understanding
In this article, we present how it is possible to recover physical parameters of objects such as reflectivity, emissivity and thermal inertia from the analysis of infrared images ...
Claude Caillas
NN
2006
Springer
108views Neural Networks» more  NN 2006»
14 years 9 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer
ISWC
2002
IEEE
15 years 2 months ago
Using Wearable Computers to Construct Semantic Representations of Physical Spaces
The representation of physical space has traditionally focused on keyphrases such as “Computer Science Building” or “Physics Department” that help us in describing and nav...
Fernando Diaz