Optimizing the kernel in the empirical feature space
By Huilin Xiong, M. N. Shanmukha Swamy, M. Omair Ahmad. IEEE Transactions on Neural Networks, 2005
341 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2b238873bff7cc106fe1e3ba64ac519a820548a5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Qiang Yang
- Sinno Jialin Pan
- Mingsheng Long
- Ivor Wai-Hung Tsang
- Jianmin Wang
- James T. Kwok
- Dacheng Tao
- Wouter M. Kouw
In Computer Vision and Pattern Recognition
- Sinno Jialin Pan
- Qiang Yang
- Ivor Wai-Hung Tsang
- Nojun Kwak
- James T. Kwok
- Gabriella Csurka
- Dacheng Tao
- Yi Yang
Citations in the corpus
- Domain Adaptation via Transfer Component Analysis (2009, background): “Mathematically, this leads to the following semi-definite program (SDP): max K ≽ 0 tr ( HKHK yy ) subject to constraints on K. ( In particular, (1) reduces to Maximum Variance Unfolding (MVU) [26] when no side information is given (i.e., K yy = I ).”
- Principal Component Analysis Based on L1-Norm Maximization (2008, methodology): “These data sets have been used in many studies [11], [12], [13].”