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» Meta-Evaluation of Image Segmentation Using Machine Learning
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134
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ICML
2000
IEEE
16 years 3 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
111
Voted
ECCV
2010
Springer
15 years 6 months ago
An eye fixation database for saliency detection in images
To learn the preferential visual attention given by humans to specific image content, we present NUSEF- an eye fixation database compiled from a pool of 758 images and 75 subjects....
120
Voted
ICPR
2008
IEEE
16 years 3 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
133
Voted
MICCAI
2006
Springer
16 years 3 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...
132
Voted
WSCG
2004
242views more  WSCG 2004»
15 years 3 months ago
Hand Gesture Recognition for Human-Machine Interaction
Even after more than two decades of input devices development, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt c...
Elena Sánchez-Nielsen, Luis Antón-Ca...