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» Structured Output Learning with High Order Loss Functions
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MCS
2005
Springer
14 years 2 months ago
A Probability Model for Combining Ranks
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
IJCNN
2007
IEEE
14 years 2 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
ICIP
2003
IEEE
14 years 10 months ago
Kernel indexing for relevance feedback image retrieval
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...
Jing Peng, Douglas R. Heisterkamp
FPGA
2000
ACM
122views FPGA» more  FPGA 2000»
14 years 4 days ago
A reconfigurable multi-function computing cache architecture
A considerable portion of a chip is dedicated to a cache memory in a modern microprocessor chip. However, some applications may not actively need all the cache storage, especially...
Huesung Kim, Arun K. Somani, Akhilesh Tyagi
TMA
2010
Springer
314views Management» more  TMA 2010»
14 years 3 months ago
On the Use of TCP Passive Measurements for Anomaly Detection: A Case Study from an Operational 3G Network
In this work we discuss the use of passive measurements of TCP performance indicators in support of network operation and troubleshooting, presenting a case-study from a real 3G ce...
Peter Romirer-Maierhofer, Angelo Coluccia, Tobias ...