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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 7 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
NIPS
2004
15 years 8 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri
BMCBI
2007
131views more  BMCBI 2007»
15 years 6 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
ICASSP
2011
IEEE
14 years 10 months ago
A method to infer emotions from facial Action Units
We present a robust method to map detected facial Action Units (AUs) to six basic emotions. Automatic AU recognition is prone to errors due to illumination, tracking failures and ...
Sudha Velusamy, Hariprasad Kannan, Balasubramanian...
TIFS
2008
157views more  TIFS 2008»
15 years 6 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
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