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» Object Detection using a Max-Margin Hough Transform
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ICIP
2008
IEEE
14 years 9 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
SETN
2004
Springer
14 years 22 days ago
Automated Medical Image Registration Using the Simulated Annealing Algorithm
This paper presents a robust, automated registration algorithm, which may be applied to several types of medical images, including CTs, MRIs, Xrays, Ultrasounds and dermatological ...
Ilias Maglogiannis, Elias P. Zafiropoulos
DSMML
2004
Springer
14 years 23 days ago
Object Recognition via Local Patch Labelling
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Christopher M. Bishop, Ilkay Ulusoy
JOT
2002
52views more  JOT 2002»
13 years 7 months ago
Negotiable Interfaces for Components
es are extended with a factorable, abstract state, and methods of interfaces are extended with state transformation behaviours. A new programming language command, the USE statemen...
Simon D. Kent, Chris Ho-Stuart, Paul Roe
ICASSP
2009
IEEE
13 years 11 months ago
A fast feature extraction method
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary ...
Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dach...