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» New Data Structures for Orthogonal Range Searching
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134
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COGSCI
2010
107views more  COGSCI 2010»
15 years 4 months ago
Inferring Hidden Causal Structure
We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
Tamar Kushnir, Alison Gopnik, Chris Lucas, Laura S...
SPIRE
2005
Springer
15 years 9 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
135
Voted
NAR
2011
233views Computer Vision» more  NAR 2011»
14 years 6 months ago
ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures
ArachnoServer (www.arachnoserver.org) is a manually curated database providing information on the sequence, structure and biological activity of protein toxins from spider venoms....
Volker Herzig, David L. A. Wood, Felicity Newell, ...
DKE
2007
153views more  DKE 2007»
15 years 3 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
VISUALIZATION
2005
IEEE
15 years 9 months ago
Query-Driven Visualization of Large Data Sets
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...