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JMLR
2006
156views more  JMLR 2006»
15 years 6 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 6 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
JMLR
2012
13 years 9 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
HPCA
2008
IEEE
16 years 7 months ago
Fundamental performance constraints in horizontal fusion of in-order cores
A conceptually appealing approach to supporting a broad range of workloads is a system comprising many small cores that can be fused, on demand, into larger cores. We demonstrate ...
Pierre Salverda, Craig B. Zilles
CVPR
2010
IEEE
16 years 3 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...