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JSW
2007
138views more  JSW 2007»
15 years 6 months ago
Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
— The anomaly-based intrusion detection systems examine current system activity do find deviations from normal system activity. The present paper proposes a method for normal act...
Veselina G. Jecheva, Evgeniya P. Nikolova
BMVC
2010
15 years 4 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
ICPR
2008
IEEE
16 years 18 days ago
Utilizing non-uniform cost learning for active control of inter-class confusion
In this paper, we demonstrate the use of learning with non-uniform error-cost as a novel technique to design a multiclass cost-sensitive classifier. We investigate two important ...
Dwi Sianto Mansjur, Qiang Fu, Biing-Hwang Juang
ML
2007
ACM
156views Machine Learning» more  ML 2007»
15 years 5 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
IBPRIA
2009
Springer
15 years 10 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...