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» On the Optimality of the Dimensionality Reduction Method
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JMLR
2010
115views more  JMLR 2010»
15 years 27 days ago
O-IPCAC and its Application to EEG Classification
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
CVPR
2010
IEEE
16 years 1 months ago
Highly Accurate Boundary Detection and Grouping
In this work we address boundary detection and boundary grouping. We first pursue a learning-based approach to boundary detection. For this (i) we leverage appearance and context...
Iasonas Kokkinos
PCM
2004
Springer
99views Multimedia» more  PCM 2004»
15 years 11 months ago
Indexing Issues in Supporting Similarity Searching
Indexing issues that arise in the support of similarity searching are presented. This includes a discussion of the curse of dimensionality, as well as multidimensional indexing, di...
Hanan Samet
ICPR
2002
IEEE
16 years 7 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
DAC
2005
ACM
16 years 7 months ago
A quasi-convex optimization approach to parameterized model order reduction
In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvex program that explicitly minimizes a relaxation ...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel