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» Relating Equivalence and Reducibility to Sparse Sets
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ESSMAC
2003
Springer
13 years 11 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 12 days ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
ADC
2006
Springer
128views Database» more  ADC 2006»
13 years 11 months ago
Horn clauses and functional dependencies in complex-value databases
We extend Fagin’s result on the equivalence between functional dependencies in relational databases and propositional Horn clauses. It is shown that this equivalence still holds...
Sven Hartmann, Sebastian Link
IROS
2006
IEEE
108views Robotics» more  IROS 2006»
13 years 11 months ago
Sparse appearance based modeling for robot localization
— In appearance based robot localization a new image is matched with every image in the database. In this paper we describe how to reduce the number of images in this database wi...
Olaf Booij, Zoran Zivkovic, Ben J. A. Kröse
NIPS
1998
13 years 7 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski