Sciweavers

107 search results - page 12 / 22
» Dimensionality reduction by unsupervised regression
Sort
View
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
14 years 1 months ago
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM
Abstract— In this paper, simultaneous localisation and mapping (SLAM) is combined with landmark recognition to close large loops in unstructured, outdoor environments. Camera and...
Fabio T. Ramos, Juan Nieto, Hugh F. Durrant-Whyte
ICIP
2005
IEEE
14 years 9 months ago
Saveface and Sirface: appearance-based recognition of faces and facial expressions
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
Yangrong Ling, Suchendra M. Bhandarkar, Xiangrong ...
JMLR
2010
119views more  JMLR 2010»
13 years 2 months ago
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
AUSAI
2007
Springer
14 years 1 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 8 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler