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» Object detection with vector quantized binary features
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NTMS
2009
IEEE
15 years 4 months ago
An Adaptive Quantization Algorithm for Secret Key Generation Using Radio Channel Measurements
—New approaches that generate secret keys from radio channel characteristics have been recently proposed. The security of these schemes usually relies on the reciprocity principl...
Sana Tmar Ben Hamida, Jean-Benoît Pierrot, C...
SSWMC
2004
14 years 11 months ago
Kernel Fisher discriminant for steganalysis of JPEG hiding methods
The use of kernel Fisher discriminants is used to detect the presence of JPEG based hiding methods. The feature vector for the kernel discriminant is constructed from the quantize...
Jeremiah J. Harmsen, William A. Pearlman
IVC
2006
259views more  IVC 2006»
14 years 9 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
VISUALIZATION
2002
IEEE
15 years 2 months ago
BLIC: Bi-Level Isosurface Compression
In this paper we introduce a new and simple algorithm to compress isosurface data. This is the data extracted by isosurface algorithms from scalar functions defined on volume gri...
Gabriel Taubin
CCIA
2010
Springer
14 years 4 months ago
Real-Time Object Segmentation Using a Bag of Features Approach
In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentat...
David Aldavert, Arnau Ramisa, Ramon López d...