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» Matching images more efficiently with local descriptors
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MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
12 years 10 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
WCE
2007
13 years 11 months ago
X-Ray Image Restoration in the Wavelet Domain
–—Wavelet expansions and wavelet transforms have proven to be very efficient and effective in analyzing a very wide class of signals and phenomena. Wavelet expansion allows a m...
Y. Laib dit leksir, H. Bendjama, A. Allag
DAGM
2010
Springer
13 years 11 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
WEBI
2010
Springer
13 years 8 months ago
Image Set Classification Using Multi-layer Multiple Instance Learning with Application to Cannabis Website Classification
We propose using multi-layer multiple instance learning (MMIL) for image set classification and applying it to the task of cannabis website classification. We treat each image as a...
Nianhua Xie, Haibin Ling, Weiming Hu