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» Learning from Highly Structured Data by Decomposition
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DEBU
2010
180views more  DEBU 2010»
14 years 10 months ago
Searching RDF Graphs with SPARQL and Keywords
The proliferation of knowledge-sharing communities like Wikipedia and the advances in automated information extraction from Web pages enable the construction of large knowledge ba...
Shady Elbassuoni, Maya Ramanath, Ralf Schenkel, Ge...
ICMCS
2006
IEEE
115views Multimedia» more  ICMCS 2006»
15 years 4 months ago
People Identification with Limited Labels in Privacy-Protected Video
People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
Yi Chang, Rong Yan, Datong Chen, Jie Yang
IROS
2009
IEEE
195views Robotics» more  IROS 2009»
15 years 4 months ago
Appearance contrast for fast, robust trail-following
— We describe a framework for finding and tracking “trails” for autonomous outdoor robot navigation. Through a combination of visual cues and ladar-derived structural inform...
Christopher Rasmussen, Yan Lu, Mehmet Kocamaz
NIPS
2004
14 years 11 months ago
Assignment of Multiplicative Mixtures in Natural Images
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
Odelia Schwartz, Terrence J. Sejnowski, Peter Daya...
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
15 years 4 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal