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» Pattern Recognition Using Functions of Multiple Instances
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SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
16 years 1 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
INTERSPEECH
2010
14 years 11 months ago
What else is new than the hamming window? robust MFCCs for speaker recognition via multitapering
Usually the mel-frequency cepstral coefficients (MFCCs) are derived via Hamming windowed DFT spectrum. In this paper, we advocate to use a so-called multitaper method instead. Mul...
Tomi Kinnunen, Rahim Saeidi, Johan Sandberg, Maria...
ICDAR
2009
IEEE
15 years 2 months ago
Towards Handwritten Mathematical Expression Recognition
In this paper, we propose a new framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognitio...
Ahmad-Montaser Awal, Harold Mouchère, Chris...
AIPR
2008
IEEE
15 years 11 months ago
Temporal structure methods for image-based change analysis
– This paper addresses the exploitation of massive numbers of image-derived change detections. We use the term “change analysis” to emphasize the intelligence value obtained ...
Ray Rimey, Dan Keefe
BMCBI
2010
142views more  BMCBI 2010»
15 years 4 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto