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» Evaluating high accuracy retrieval techniques
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TREC
2003
13 years 9 months ago
HARD Experiment at Maryland: From Need Negotiation to Automated HARD Process
Our aim of participating in this year’s High Accuracy Retrieval from Documents (HARD) track is to explore the possibility of developing an automated HARD retrieval model by leve...
Daqing He, Dina Demner-Fushman
SIGIR
2006
ACM
14 years 1 months ago
Capturing collection size for distributed non-cooperative retrieval
Modern distributed information retrieval techniques require accurate knowledge of collection size. In non-cooperative environments, where detailed collection statistics are not av...
Milad Shokouhi, Justin Zobel, Falk Scholer, Seyed ...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 2 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
WIAMIS
2009
IEEE
14 years 2 months ago
Evaluation of pixel- and motion vector-based global motion estimation for camera motion characterization
Pixel-based and motion vector-based global motion estimation (GME) techniques are evaluated in this paper with an automatic system for camera motion characterization. First, the G...
Martin Haller, Andreas Krutz, Thomas Sikora
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon