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» Boosting Object Detection Using Feature Selection
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ICVS
2009
Springer
15 years 9 months ago
Using Local Symmetry for Landmark Selection
Abstract. Most visual Simultaneous Localization And Mapping (SLAM) methods use interest points as landmarks in their maps of the environment. Often the interest points are detected...
Gert Kootstra, Sjoerd de Jong, Lambert Schomaker
136
Voted
ICVGIP
2004
15 years 3 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
RAID
2010
Springer
15 years 25 days ago
Using IRP for Malware Detection
Abstract. Run-time malware detection strategies are efficient and robust, which get more and more attention. In this paper, we use I/O Request Package (IRP) sequences for malware d...
FuYong Zhang, DeYu Qi, JingLin Hu
166
Voted
SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
15 years 24 days ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen
113
Voted
IJCV
2008
266views more  IJCV 2008»
15 years 2 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...