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» Extracting Approximate Patterns
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NIPS
1994
15 years 5 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
UAI
1996
15 years 5 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
COMCOM
2010
276views more  COMCOM 2010»
15 years 4 months ago
Adjustable convergecast tree protocol for wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure base station receives a complete picture about the monitored area. Convergecast is an important commu...
Tzung-Shi Chen, Hua-Wen Tsai, Chih-Ping Chu
GRID
2006
Springer
15 years 4 months ago
Snapshot Processing in Streaming Environments
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Daniel M. Zimmerman, K. Mani Chandy
JDA
2008
87views more  JDA 2008»
15 years 4 months ago
Lossless filter for multiple repetitions with Hamming distance
Similarity search in texts, notably in biological sequences, has received substantial attention in the last few years. Numerous filtration and indexing techniques have been create...
Pierre Peterlongo, Nadia Pisanti, Fréd&eacu...