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» Detecting branching structures using local Gaussian models
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ECCV
2002
Springer
15 years 11 months ago
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
Abstract. Quadrature filters are a well known method of low-level computer vision for estimating certain properties of the signal, as there are local amplitude and local phase. How...
Michael Felsberg, Gerald Sommer
PAMI
2012
13 years 3 days ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
PRL
2008
85views more  PRL 2008»
14 years 9 months ago
Reliability estimation of a statistical classifier
Pattern classification techniques derived from statistical principles have been widely studied and have proven powerful in addressing practical classification problems. In real-wo...
Pandu Ranga Rao Devarakota, Bruno Mirbach, Bjö...
BMCBI
2010
182views more  BMCBI 2010»
14 years 9 months ago
Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...
Jo A. Helmuth, Grégory Paul, Ivo F. Sbalzar...
CVPR
2008
IEEE
15 years 11 months ago
People-tracking-by-detection and people-detection-by-tracking
Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated occlusions, and cluttered o...
Mykhaylo Andriluka, Stefan Roth, Bernt Schiele