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AAAI
2004
13 years 9 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
PAMI
2006
206views more  PAMI 2006»
13 years 7 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
OSDI
2004
ACM
14 years 7 months ago
ksniffer: Determining the Remote Client Perceived Response Time from Live Packet Streams
As dependence on the World Wide Web continues to grow, so does the need for businesses to have quantitative measures of the client perceived response times of their Web services. ...
David P. Olshefski, Jason Nieh, Erich M. Nahum
ICASSP
2011
IEEE
12 years 11 months ago
Scale-dependent analysis of Ionosphere fluctuations
Ionosphere consists of a large complex system whose analysis is of major importance, e.g., for climatology or radiocommunications. Therefore, studying its variations, usually anal...
Stéphane G. Roux, Patrice Abry, Petra Kouck...
BMCBI
2011
13 years 2 months ago
RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
Background: The Gene Ontology (GO) Consortium organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. Tools such...
Barry Zeeberg, Hongfang Liu, Ari B. Kahn, Martin E...