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ISBI
2008
IEEE
16 years 6 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
KDD
2009
ACM
151views Data Mining» more  KDD 2009»
16 years 6 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
CHI
2009
ACM
16 years 26 days ago
Enhancing brain-machine interface throughput using simultaneous activation detection
In this work, we investigate the viability of a novel combination of evoked responses as input signals for a general-purpose brain-machine interface (BMI). We demonstrate response...
Rudolph L. Mappus IV, Paul M. Corballis, Melody Mo...
158
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ICSM
2008
IEEE
16 years 14 days ago
Dynamic slicing of multithreaded programs for race detection
Prior work has shown that computing dynamic slices of erroneous program values can greatly assist in locating the root cause of erroneous behavior by identifying faulty statements...
Sriraman Tallam, Chen Tian, Rajiv Gupta
FASE
2003
Springer
15 years 11 months ago
Detecting Implied Scenarios Analyzing Non-local Branching Choices
Scenarios are powerful tools to model and analyze software systems. However, since they do not provide a complete description of the system, but just some possible execution paths,...
Henry Muccini