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» Learning Overcomplete Representations
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94
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ICML
2009
IEEE
16 years 1 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing
78
Voted
ICML
2003
IEEE
16 years 1 months ago
A Kernel Between Sets of Vectors
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
Risi Imre Kondor, Tony Jebara
89
Voted
CVPR
2010
IEEE
15 years 9 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
106
Voted
IROS
2007
IEEE
165views Robotics» more  IROS 2007»
15 years 7 months ago
A bayesian conceptualization of space for mobile robots
Abstract— The future of robots, as our companions is dependent on their ability to understand, interpret and represent the environment in a human compatible manner. Towards this ...
Shrihari Vasudevan, Roland Siegwart
ICALT
2005
IEEE
15 years 6 months ago
Collaborative Virtual Environment Technology for People with Autism
This paper focuses on an investigation of Collaborative Virtual Environment (CVE) technology for people with autism, paying particular attention to the use of avatar representatio...
Yufang Cheng, David J. Moore, Paul McGrath, Yulei ...