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ICCS
2004
Springer
14 years 29 days ago
Chunking-Coordinated-Synthetic Approaches to Large-Scale Kernel Machines
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
Francisco J. González-Castaño, Rober...
CVPR
2003
IEEE
14 years 9 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
NIPS
2001
13 years 9 months ago
Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
Roman Genov, Gert Cauwenberghs
ICPR
2006
IEEE
14 years 8 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
ICCV
2001
IEEE
14 years 9 months ago
Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schö...