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» Feature Selection using Multiple Streams
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TIM
2011
172views more  TIM 2011»
13 years 4 months ago
Selecting a Reference High Resolution for Fingerprint Recognition Using Minutiae and Pores
—High-resolution automated fingerprint recognition systems (AFRSs) offer higher security because they are able to make use of level-3 features, such as pores, that are not avail...
David Zhang, Feng Liu, Qijun Zhao, Guangming Lu, N...
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
14 years 11 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
PR
2008
93views more  PR 2008»
13 years 9 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
CVPR
2008
IEEE
14 years 11 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 10 months ago
A geometric approach to monitoring threshold functions over distributed data streams
Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values...
Izchak Sharfman, Assaf Schuster, Daniel Keren