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» Sampling Techniques for Kernel Methods
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 5 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
IDA
1998
Springer
15 years 4 months ago
Fast Dimensionality Reduction and Simple PCA
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...
Matthew Partridge, Rafael A. Calvo
161
Voted
CRV
2005
IEEE
208views Robotics» more  CRV 2005»
15 years 10 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek
BMVC
1998
15 years 6 months ago
Multi-Scale 3-D Free-Form Surface Smoothing
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed (through fusion of range images) a...
Farzin Mokhtarian, Nasser Khalili, Peter Yuen
ICASSP
2009
IEEE
15 years 11 months ago
Posterior features applied to speech recognition tasks with user-defined vocabulary
This paper presents a novel approach for those applications where vocabulary is defined by a set of acoustic samples. In this approach, the acoustic samples are used as reference...
Guillermo Aradilla, Hervé Bourlard, Mathew ...