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» Soft computing in intrusion detection: the state of the art
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CVPR
2008
IEEE
16 years 1 months ago
Using contours to detect and localize junctions in natural images
Contours and junctions are important cues for perceptual organization and shape recognition. Detecting junctions locally has proved problematic because the image intensity surface...
Michael Maire, Pablo Arbelaez, Charless Fowlkes, J...
CVPR
2010
IEEE
15 years 8 months ago
Object Detection via Boundary Structure Segmentation
We address the problem of object detection and segmentation using holistic properties of object shape. Global shape representations are highly susceptible to clutter inevitably pr...
Alexander Toshev, Ben Taskar, Kostas Daniilidis
CVPR
2006
IEEE
16 years 1 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ECCV
2008
Springer
16 years 1 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
ACCV
2010
Springer
14 years 6 months ago
Generic Object Class Detection Using Boosted Configurations of Oriented Edges
Abstract. In this paper we introduce a new representation for shapebased object class detection. This representation is based on very sparse and slightly flexible configurations of...
Oscar M. Danielsson, Stefan Carlsson