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» The Dark Side of Object Learning: Learning Objects
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106
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PAMI
2007
194views more  PAMI 2007»
15 years 9 days ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
67
Voted
ICPR
2008
IEEE
16 years 2 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
ICTAI
1994
IEEE
15 years 4 months ago
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
Cédric Gégout, Bernard Girau, Fabric...
143
Voted
ACMIDC
2008
15 years 2 months ago
Supporting children as they program to make physical and virtual objects interact
I develop technological tools to help communities of children creatively solve problems as they program computers. The Hook-ups project introduces computational tools that support...
Amon Millner
93
Voted
ERCIMDL
2008
Springer
100views Education» more  ERCIMDL 2008»
15 years 2 months ago
The MultiMatch Prototype: Multilingual/Multimedia Search for Cultural Heritage Objects
MultiMatch is a 30 month targeted research project under the Sixth Framework Programme, supported by the unit for Content, Learning and Cultural Heritage (Digicult) of the Informat...
Giuseppe Amato, Franca Debole, Carol Peters, Pasqu...