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163
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PRL
2002
213views more  PRL 2002»
15 years 2 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
135
Voted
TKDE
1998
134views more  TKDE 1998»
15 years 2 months ago
Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
—This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model f...
John D. N. Dionisio, Alfonso F. Cardenas
PAMI
2007
164views more  PAMI 2007»
15 years 2 months ago
Space-Time Completion of Video
—This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a ...
Yonatan Wexler, Eli Shechtman, Michal Irani
PRL
2007
166views more  PRL 2007»
15 years 1 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
MICCAI
2010
Springer
15 years 27 days ago
Automatic Lung Lobe Segmentation Using Particles, Thin Plate Splines, and Maximum a Posteriori Estimation
We present a fully automatic lung lobe segmentation algorithm that is effective in high resolution computed tomography (CT) datasets in the presence of confounding factors such as ...
James C. Ross, Raúl San José Est&eac...