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ICASSP
2007
IEEE
15 years 11 months ago
Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
Roger Pique-Regi, En-Shuo Tsau, Antonio Ortega, Ro...
119
Voted
IJON
2010
181views more  IJON 2010»
15 years 3 months ago
Active learning with extremely sparse labeled examples
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
Shiliang Sun, David R. Hardoon
CVPR
2010
IEEE
15 years 2 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
ICCV
2011
IEEE
14 years 4 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
IDA
2009
Springer
15 years 11 months ago
Image Coding and Compression with Sparse 3D Discrete Cosine Transform
In this paper, an algorithm for image coding based on a sparse 3-dimensional Discrete Cosine Transform (3D DCT) is studied. The algorithm is essentially a method for achieving a su...
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zad...