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» Pruning Training Sets for Learning of Object Categories
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DCC
2008
IEEE
14 years 8 months ago
Object-Based Regions of Interest for Image Compression
A fully automated architecture for object-based region of interest (ROI) detection is proposed. ROI's are defined as regions containing user defined objects of interest, and ...
Sunhyoung Han, Nuno Vasconcelos
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
ATAL
2006
Springer
14 years 23 days ago
The use of agents in human learning systems
This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to a...
Elizabeth Sklar, Debbie Richards
GIS
2009
ACM
14 years 3 months ago
Constrained reverse nearest neighbor search on mobile objects
In this paper, we formalize the novel concept of Constrained Reverse k-Nearest Neighbor (CRkNN) search on mobile objects (clients) performed at a central server. The CRkNN query c...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...
GIS
2010
ACM
13 years 7 months ago
Reverse k-Nearest Neighbor monitoring on mobile objects
In this paper we focus on the problem of continuously monitoring the set of Reverse k-Nearest Neighbors (RkNNs) of a query object in a moving object database using a client server...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...