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BMCBI
2010
150views more  BMCBI 2010»
13 years 4 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
INTERACTIONS
2010
92views more  INTERACTIONS 2010»
13 years 4 months ago
PUX: patterns of user experience
s from a concrete to a new abstract level of description [1]. Rises in abstraction level happen regularly in all fields, but the key difference in Alexander's work was that ra...
Alan F. Blackwell, Sally Fincher
PAMI
2010
207views more  PAMI 2010»
13 years 1 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
CVPR
2011
IEEE
12 years 10 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...
ICASSP
2011
IEEE
12 years 10 months ago
Sparsity-based defect pixel compensation for arbitrary camera raw images
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, f...
Michael Schöberl, Jürgen Seiler, Bernhar...