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TMI
2008
109views more  TMI 2008»
15 years 6 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
TCBB
2010
80views more  TCBB 2010»
15 years 4 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
ICDAR
2009
IEEE
15 years 4 months ago
Prototype Selection for Handwritten Connected Digits Classification
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...
ICVS
2009
Springer
15 years 4 months ago
Automatic Classification of Image Registration Problems
This paper introduces a system that automatically classifies registration problems based on the type of registration required. Rather than rely on a single "best" algorit...
Steve Oldridge, Gregor Miller, Sidney Fels
TIP
2010
119views more  TIP 2010»
15 years 1 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...