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» On Learning with Integral Operators
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ICCV
2009
IEEE
17 years 1 days ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
ICML
2009
IEEE
16 years 7 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
OSDI
2008
ACM
16 years 7 months ago
Digging for Data Structures
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...
Anthony Cozzie, Frank Stratton, Hui Xue, Samuel T....
IROS
2009
IEEE
139views Robotics» more  IROS 2009»
16 years 1 months ago
Improving robot navigation in structured outdoor environments by identifying vegetation from laser data
— This paper addresses the problem of vegetation detection from laser measurements. The ability to detect vegetation is important for robots operating outdoors, since it enables ...
Kai M. Wurm, Rainer Kümmerle, Cyrill Stachnis...
ISDA
2009
IEEE
16 years 1 months ago
Improving Academic Performance Prediction by Dealing with Class Imbalance
Abstract—This paper introduces and compares some techniques used to predict the student performance at the university. Recently, researchers have focused on applying machine lear...
Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thiem...