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» A selective sampling approach to active feature selection
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ECAI
2008
Springer
15 years 8 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
SIGMOD
2000
ACM
104views Database» more  SIGMOD 2000»
15 years 11 months ago
Spatial Join Selectivity Using Power Laws
We discovered a surprising law governing the spatial join selectivity across two sets of points. An example of such a spatial join is "find the libraries that are within 10 m...
Christos Faloutsos, Bernhard Seeger, Agma J. M. Tr...
CGO
2007
IEEE
16 years 1 months ago
Rapidly Selecting Good Compiler Optimizations using Performance Counters
Applying the right compiler optimizations to a particular program can have a significant impact on program performance. Due to the non-linear interaction of compiler optimization...
John Cavazos, Grigori Fursin, Felix V. Agakov, Edw...
BMCBI
2007
128views more  BMCBI 2007»
15 years 7 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
ICONIP
2010
15 years 4 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho