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» Support Vector Classification with Input Data Uncertainty
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MICCAI
2006
Springer
16 years 1 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
78
Voted
ICRA
2007
IEEE
147views Robotics» more  ICRA 2007»
15 years 6 months ago
Classification-Based Wheel Slip Detection and Detector Fusion for Outdoor Mobile Robots
— This paper introduces a signal-recognition based approach for detecting autonomous mobile robot immobilization on outdoor terrain. The technique utilizes a support vector machi...
Chris C. Ward, Karl Iagnemma
113
Voted
ACCV
2010
Springer
14 years 7 months ago
Indoor Scene Classification Using Combined 3D and Gist Features
Abstract. Scene categorization is an important mechanism for providing high-level context which can guide methods for a more detailed analysis of scenes. State-of-the-art technique...
Agnes Swadzba, Sven Wachsmuth
BMCBI
2010
224views more  BMCBI 2010»
15 years 20 days ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
106
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 28 days ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...