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» Evaluating algorithms that learn from data streams
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CVPR
2006
IEEE
15 years 10 months ago
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
Changbo Yang, Ming Dong, Jing Hua
DCOSS
2007
Springer
15 years 10 months ago
Energy-Efficient Data Acquisition Using a Distributed and Self-organizing Scheduling Algorithm for Wireless Sensor Networks
Abstract. Wireless sensor networks are often densely deployed for environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consum...
Supriyo Chatterjea, Tim Nieberg, Yang Zhang, Paul ...
VISUALIZATION
2005
IEEE
16 years 2 days ago
Streaming Meshes
Recent years have seen an immense increase in the complexity of geometric data sets. Today’s gigabyte-sized polygon models can no longer be completely loaded into the main memor...
Martin Isenburg, Peter Lindstrom
IPPS
1999
IEEE
15 years 10 months ago
Marshaling/Demarshaling as a Compilation/Interpretation Process
Marshaling is the process through which structured values are serialized into a stream of bytes; demarshaling converts this stream of bytes back to structured values. Most often, ...
Christian Queinnec
ESORICS
2009
Springer
16 years 7 months ago
Secure Evaluation of Private Linear Branching Programs with Medical Applications
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
Mauro Barni, Pierluigi Failla, Vladimir Kolesnikov...