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» A framework for testing DBMS features
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ATAL
2007
Springer
14 years 3 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
ICSE
2008
IEEE-ACM
14 years 10 months ago
Are fit tables really talking?: a series of experiments to understand whether fit tables are useful during evolution tasks
Test-driven software development tackles the problem of operationally defining the features to be implemented by means of test cases. This approach was recently ported to the earl...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...
ICIP
2004
IEEE
14 years 10 months ago
A classifier design for detecting Image manipulations
In this paper we present a framework for digital image forensics. Based on the assumptions that some processing operations must be done on the image before it is doctored, and an ...
Ismail Avcibas, Sevinc Bayram, Nasir D. Memon, Mah...
PODS
2004
ACM
115views Database» more  PODS 2004»
14 years 9 months ago
Foundations of Semantic Web Databases
The Semantic Web is based on the idea of adding more machine-readable semantics to web information via annotations written in a language called the Resource Description Framework ...
Claudio Gutiérrez, Carlos A. Hurtado, Alber...
ICIP
2008
IEEE
14 years 3 months ago
Matching tracking sequences across widely separated cameras
In this paper, we present a new solution to the problem of matching tracking sequences across different cameras. Unlike snapshot-based appearance matching which matches objects by...
Yinghao Cai, Kaiqi Huang, Tieniu Tan