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111
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ICPR
2004
IEEE
16 years 3 months ago
Corner Detection Using Support Vector Machines
A support vector machine based algorithm for corner detection is presented. It is based on computing the direction of maximum gray-level change for each edge pixel in an image, an...
Malay K. Kundu, Minakshi Banerjee, Pabitra Mitra
ICIP
2010
IEEE
14 years 12 months ago
A supervised micro-calcification detection approach in digitised mammograms
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...
Albert Torrent, Arnau Oliver, Xavier Lladó,...
115
Voted
ICPR
2004
IEEE
16 years 3 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICARIS
2005
Springer
15 years 7 months ago
Immunising Automated Teller Machines
Abstract. This paper presents an immune-inspired adaptable error detection (AED) framework for Automated Teller Machines (ATMs). This framework two levels, one level is local to a ...
Modupe Ayara, Jon Timmis, Rogério de Lemos,...
NIPS
2004
15 years 3 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...