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» Learning Visual Invariance
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ICCV
2003
IEEE
14 years 10 months ago
Weighted and Robust Incremental Method for Subspace Learning
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
Danijel Skocaj, Ales Leonardis
ICML
2009
IEEE
14 years 9 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
ICANNGA
2007
Springer
143views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
A Model of Non-elemental Associative Learning in the Mushroom Body Neuropil of the Insect Brain
We developed a computational model of the mushroom body (MB), a prominent region of multimodal integration in the insect brain, and tested the model’s performance for non-element...
Jan Wessnitzer, Barbara Webb, Darren Smith
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Video Frame Identification for Learning Media Content Understanding
This paper presents our latest work on identifying frame content types for understanding learning media content. In particular, we categorize frames into six classes namely, slide...
Ying Li, Chitra Dorai
HIS
2008
13 years 9 months ago
MIRA: A Learning Multimodal Interactive Robot Agent
In this paper we present a robotic head MIRA (Multimodal Interactive Robot Agent) which has been developed for studying the learning of human robot interaction and improving our u...
John C. Murray, Stefan Wermter, Michael Knowles