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» Learning the Common Structure of Data
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153
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IROS
2009
IEEE
145views Robotics» more  IROS 2009»
15 years 10 months ago
Utilizing prior information to enhance self-supervised aerial image analysis for extracting parking lot structures
Abstract— Road network information (RNI) simplifies autonomous driving by providing strong priors about driving environments. Its usefulness has been demonstrated in the DARPA U...
Young-Woo Seo, Chris Urmson
182
Voted
STAIRS
2008
175views Education» more  STAIRS 2008»
15 years 5 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
124
Voted
ICCV
2007
IEEE
15 years 10 months ago
Contextual Distance for Data Perception
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
155
Voted
CCR
2004
89views more  CCR 2004»
15 years 3 months ago
Should we build Gnutella on a structured overlay?
There has been much interest in both unstructured and structured overlays recently. Unstructured overlays, like Gnutella, build a random graph and use flooding or random walks on ...
Miguel Castro, Manuel Costa, Antony I. T. Rowstron
ICDE
2004
IEEE
99views Database» more  ICDE 2004»
16 years 5 months ago
Direct Mesh: a Multiresolution Approach to Terrain Visualization
Terrain can be approximated by a triangular mesh consisting millions of 3D points. Multiresolution triangular mesh (MTM) structures are designed to support applications that use t...
Kai Xu 0003, Xiaofang Zhou, Xuemin Lin