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» Unsupervised Feature Selection Using Feature Similarity
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ICASSP
2011
IEEE
13 years 2 months ago
Phoneme recognition using Boosted Binary Features
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
ICCV
2011
IEEE
12 years 10 months ago
Evaluation of Image Features Using a Photorealistic Virtual World
Image features are widely used in computer vision applications. They need to be robust to scene changes and image transformations. Designing and comparing feature descriptors requ...
Biliana Kaneva, Antonio Torralba, Bill Freeman
ICPR
2004
IEEE
14 years 11 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
CEE
2010
67views more  CEE 2010»
13 years 10 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
BMVC
2010
13 years 8 months ago
Live Feature Clustering in Video Using Appearance and 3D Geometry
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
Adrien Angeli, Andrew Davison