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APIN
2004
116views more  APIN 2004»
14 years 10 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
OSDI
2006
ACM
15 years 10 months ago
From Uncertainty to Belief: Inferring the Specification Within
Automatic tools for finding software errors require a set of specifications before they can check code: if they do not know what to check, they cannot find bugs. This paper presen...
Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. ...
92
Voted
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
15 years 10 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
VR
2007
IEEE
168views Virtual Reality» more  VR 2007»
15 years 4 months ago
Can People Not Tell Left from Right in VR? Point-to-origin Studies Revealed Qualitative Errors in Visual Path Integration
Even in state-of-the-art virtual reality (VR) setups, participants often feel lost when navigating through virtual environments. In psychological experiments, such disorientation ...
Bernhard E. Riecke, Jan Malte Wiener
ICPR
2006
IEEE
15 years 11 months ago
Off-line Signature Verification based on the Modified Direction Feature
Signature identification and verification has been a topic of interest and importance for many years in the area of biometrics. In this paper we present an effective method to per...
Stephane Armand, Michael Blumenstein, Vallipuram M...