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» Geometrical Structure of Boosting Algorithm
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ICIP
2010
IEEE
13 years 5 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
ICIP
2003
IEEE
14 years 9 months ago
Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model
Inherent to photograph-like images are two types of structures: large smooth regions and geometrically smooth edge contours separating those regions. Over the past years, efficien...
Justin K. Romberg, Michael B. Wakin, Richard G. Ba...
CVPR
2007
IEEE
14 years 9 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
IJCV
2006
120views more  IJCV 2006»
13 years 7 months ago
Contour Inferences for Image Understanding
We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints su...
Washington Mio, Anuj Srivastava, Xiuwen Liu
ICML
2007
IEEE
14 years 8 months ago
Learning for efficient retrieval of structured data with noisy queries
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an ap...
Charles Parker, Alan Fern, Prasad Tadepalli