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» Evaluating algorithms that learn from data streams
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CVPR
2010
IEEE
16 years 11 days ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
BMCBI
2008
126views more  BMCBI 2008»
15 years 4 months ago
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
Background: FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confide...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim...
TPDS
2008
101views more  TPDS 2008»
15 years 4 months ago
An Energy-Oriented Evaluation of Buffer Cache Algorithms Using Parallel I/O Workloads
Power consumption is an important issue for cluster supercomputers as it directly affects running cost and cooling requirements. This paper investigates the memory energy efficienc...
Jianhui Yue, Yifeng Zhu, Zhao Cai
COLING
2002
15 years 4 months ago
Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning
A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
PRIS
2004
15 years 5 months ago
Similarity Range Queries in Streaming Time Series
Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in t...
Maria Kontaki, Apostolos Papadopoulos, Yannis Mano...