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» Principal Component Analysis Based on L1-Norm Maximization
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INFOCOM
2007
IEEE
14 years 1 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
PICS
2003
13 years 9 months ago
Illuminant Influence on the Reconstruction of NIR Spectra
In order to recover spectral reflectances or transmittances using a multispectral imaging based technique, it is necessary to know the spectral radiance of the illuminant used to ...
Meritxell Vilaseca, Jaume Pujol, Montserrat Arjona...
IJNSEC
2008
109views more  IJNSEC 2008»
13 years 7 months ago
A Multi-band Wavelet Watermarking Scheme
This paper presents a new multi-band wavelet watermarking scheme. Compared with conventional watermarking schemes implemented in two-band wavelet domain, by incorporating the prin...
Xiangui Kang, Wenjun Zeng, Jiwu Huang
PRL
2007
147views more  PRL 2007»
13 years 7 months ago
Volume measure in 2DPCA-based face recognition
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
Jicheng Meng, Wenbin Zhang
SIGDIAL
2010
13 years 5 months ago
Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context
A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
Manuel Kirschner, Raffaella Bernardi