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» Learning Determinantal Point Processes
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106
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CVPR
2007
IEEE
16 years 4 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro
100
Voted
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 9 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
143
Voted
CIBCB
2006
IEEE
15 years 8 months ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
110
Voted
NIPS
2007
15 years 4 months ago
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Jingrui He, Jaime G. Carbonell
106
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AUTOMATICA
2007
90views more  AUTOMATICA 2007»
15 years 2 months ago
Stability analysis of discrete-time iterative learning control systems with interval uncertainty
This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plant Markov parameters are subject to interval uncerta...
Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen