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IJCNN
2006
IEEE
16 years 21 days ago
Nominal-scale Evolving Connectionist Systems
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
Michael J. Watts
ICCAD
2003
IEEE
142views Hardware» more  ICCAD 2003»
16 years 3 months ago
Energy Optimization of Distributed Embedded Processors by Combined Data Compression and Functional Partitioning
Transmitting compressed data can reduce inter-processor communication traffic and create new opportunities for DVS (dynamic voltage scaling) in distributed embedded systems. Howe...
Jinfeng Liu, Pai H. Chou
SSPR
2004
Springer
16 years 20 hour ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini
AIPR
2004
IEEE
15 years 10 months ago
Robust Detection and Recognition of Buildings in Urban Environments from LADAR Data
Successful Unmanned Ground Vehicle (UGV) navigation in urban areas requires the competence of the vehicle to cope with Global Positioning System (GPS) outages and/or unreliable po...
Raj Madhavan, Tsai Hong
ACL
2004
15 years 8 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab