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» Automated Approaches for Classifying Structures
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ICIP
2005
IEEE
16 years 4 months ago
A classification approach for anatomical regions segmentation
In this paper, a supervised pixel-based classifier approach for segmenting different anatomical regions in abdominal Computed Tomography (CT) studies is presented. The approach co...
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furs...
122
Voted
PRL
2007
166views more  PRL 2007»
15 years 2 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
TIME
2002
IEEE
15 years 7 months ago
A Finite-State Approach to Event Semantics
Events employed in natural language semantics are characterized in terms of regular languages, each string in which can be regarded as a motion picture. The relevant finite autom...
Tim Fernando
106
Voted
SIGCOMM
2003
ACM
15 years 7 months ago
A framework for classifying denial of service attacks
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- o...
Alefiya Hussain, John S. Heidemann, Christos Papad...
105
Voted
AUSAI
2008
Springer
15 years 4 months ago
Clustering with XCS on Complex Structure Dataset
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang