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» Robust Feature Selection Algorithms
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115
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JCB
2007
94views more  JCB 2007»
15 years 2 months ago
Locality and Gaps in RNA Comparison
Locality is an important and well-studied notion in comparative analysis of biological sequences. Similarly, taking into account affine gap penalties when calculating biological ...
Rolf Backofen, Shihyen Chen, Danny Hermelin, Gad M...
TEC
2002
133views more  TEC 2002»
15 years 2 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
ISCAS
2003
IEEE
185views Hardware» more  ISCAS 2003»
15 years 7 months ago
A semi-fragile object based video authentication system
This paper presents a semi-fragile object-based authentication solution for MPEG4 video. To protect the integrity of the video objects / sequences, a content-based watermark is em...
Dajun He, Qibin Sun, Qi Tian
130
Voted
MM
2005
ACM
178views Multimedia» more  MM 2005»
15 years 8 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
134
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 9 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang