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» Quantization of Sparse Representations
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KDD
2006
ACM
117views Data Mining» more  KDD 2006»
14 years 8 months ago
Efficient multidimensional data representations based on multiple correspondence analysis
In the On Line Analytical Processing (OLAP) context, exploration of huge and sparse data cubes is a tedious task which does not always lead to efficient results. In this paper, we...
Omar Boussaid, Riadh Ben Messaoud, Sabine Loudcher...
CVPR
2012
IEEE
11 years 10 months ago
Bilevel sparse coding for coupled feature spaces
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu...
ICARCV
2002
IEEE
109views Robotics» more  ICARCV 2002»
14 years 20 days ago
Quantized wavelet features and support vector machines for on-road vehicle detection
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Zehang Sun, George Bebis, Ronald Miller
ICPR
2010
IEEE
13 years 8 months ago
Binary Representations of Fingerprint Spectral Minutiae Features
A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary...
Haiyun Xu, Raymond Veldhuis
ICPR
2008
IEEE
14 years 2 months ago
Pose sentences: A new representation for action recognition using sequence of pose words
We propose a method for recognizing human actions in videos. Inspired from the recent bag-of-words approaches, we represent actions as documents consisting of words, where a word ...
Kardelen Hatun, Pinar Duygulu