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» A Preference Model for Structured Supervised Learning Tasks
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147
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EMNLP
2011
14 years 2 months ago
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
Young-Bum Kim, João Graça, Benjamin ...
130
Voted
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
129
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RSS
2007
145views Robotics» more  RSS 2007»
15 years 4 months ago
Semantic Modeling of Places using Objects
— While robot mapping has seen massive strides , higher level abstractions in map representation are still not widespread. Maps containing semantic concepts such as objects and l...
Ananth Ranganathan, Frank Dellaert
122
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IJCNN
2006
IEEE
15 years 8 months ago
Venn-like models of neo-cortex patches
— This work presents a new architecture of artificial neural networks – Venn Networks, which produce localized activations in a 2D map while executing simple cognitive tasks. T...
Fernando Buarque de Lima Neto, Philippe De Wilde
123
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LEGE
2003
80views Education» more  LEGE 2003»
15 years 4 months ago
Theoretical Foundations for E-Learning Environments Direct to Virtual Scientific Experiments
In this work we want to put in evidence the necessity to integrate theoretical, methodological and didactical aspects with innovative e-learning systems, in order to hypothesize po...