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NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
ACL
1998
14 years 11 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker
CMS
2010
207views Communications» more  CMS 2010»
14 years 10 months ago
Statistical Detection of Malicious PE-Executables for Fast Offline Analysis
While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related ...
Ronny Merkel, Tobias Hoppe, Christian Krätzer...
IPM
2007
99views more  IPM 2007»
14 years 9 months ago
Percent perfect performance (PPP)
An information retrieval performance measure that is interpreted as the percent of perfect performance (PPP) can be used to study the effects of the inclusion of specific documen...
Robert M. Losee
JEI
2002
212views more  JEI 2002»
14 years 9 months ago
Morphology-based license plate detection in images of differently illuminated and oriented cars
This paper presents a morphology-based method for detecting license plates from cluttered images. The proposed system consists of three major components. At the first, a morpholog...
Jun-Wei Hsieh, Shih-Hao Yu, Yung-Sheng Chen