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» Feature Level Clustering of Large Biometric Database
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FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
13 years 11 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
AVBPA
2005
Springer
308views Biometrics» more  AVBPA 2005»
13 years 11 months ago
Biometric Recognition Using Feature Selection and Combination
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
Ajay Kumar, David Zhang
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
14 years 6 months ago
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases
Multimedia objects are often described by high-dimensional feature vectors which can be used for retrieval and clustering tasks. We have built an interactive retrieval system for ...
Benjamin Bustos, Daniel A. Keim, Christian Panse, ...
ICDAR
2011
IEEE
12 years 4 months ago
Writer Retrieval - Exploration of a Novel Biometric Scenario Using Perceptual Features Derived from Script Orientation
—We propose a novel scenario called “writer retrieval” consisting in the retrieval from a set of documents all those produced by the same writer. The retrieval is based on a ...
Vlad Atanasiu, Laurence Likforman-Sulem, Nicole Vi...
VLDB
1998
ACM
312views Database» more  VLDB 1998»
13 years 9 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...