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» Co-Tracking Using Semi-Supervised Support Vector Machines
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PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
15 years 8 months ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
120
Voted
NECO
2007
115views more  NECO 2007»
15 years 2 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
ICPR
2010
IEEE
15 years 1 months ago
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
Ming Li, Shrikanth Narayanan
113
Voted
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
15 years 29 days ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
114
Voted
TIFS
2010
128views more  TIFS 2010»
15 years 28 days ago
Steganalysis by subtractive pixel adjacency matrix
This paper presents a novel method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which...
Tomás Pevný, Patrick Bas, Jessica J....