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» Optimizing Feature Sets for Structured Data
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ECCV
2004
Springer
14 years 9 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
ICCAD
2009
IEEE
118views Hardware» more  ICCAD 2009»
13 years 5 months ago
Memory organization and data layout for instruction set extensions with architecturally visible storage
Present application specific embedded systems tend to choose instruction set extensions (ISEs) based on limitations imposed by the available data bandwidth to custom functional un...
Panagiotis Athanasopoulos, Philip Brisk, Yusuf Leb...
ICDE
2010
IEEE
491views Database» more  ICDE 2010»
14 years 7 months ago
TrajStore: An Adaptive Storage System for Very Large Trajectory Data Sets
The rise of GPS and broadband-speed wireless devices has led to tremendous excitement about a range of applications broadly characterized as "location based services". Cu...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
CIKM
2009
Springer
14 years 2 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
CVPR
2003
IEEE
14 years 9 months ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert