115 search results - page 4 / 23 » Feature Sets and Dimensionality Reduction for Visual Object ... |
187
Voted
FUZZIEEE
2007
IEEE
16 years 21 days ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
173
Voted
CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
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...
161
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BMCBI
2010
15 years 6 months ago
2010
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
179
Voted
BMVC
2010
15 years 4 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
172
Voted
NIPS
2004
15 years 7 months ago
2004
We give a fast rejection scheme that is based on image segments and demonstrate it on the canonical example of face detection. However, instead of focusing on the detection step w...