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ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
217
Voted
MM
2006
ACM
189views Multimedia» more  MM 2006»
16 years 17 days ago
Real-time computerized annotation of pictures
Automated annotation of digital pictures has been a highly challenging problem for computer scientists since the invention of computers. The capability of annotating pictures by c...
Jia Li, James Ze Wang
DBISP2P
2005
Springer
82views Database» more  DBISP2P 2005»
16 years 4 days ago
Range Query Optimization Leveraging Peer Heterogeneity in DHT Data Networks
In this work we address the issue of efficient processing of range queries in DHT-based P2P data networks. The novelty of the proposed approach lies on architectures, algorithms, ...
Nikos Ntarmos, Theoni Pitoura, Peter Triantafillou
BMCBI
2008
204views more  BMCBI 2008»
15 years 6 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
CLOUD
2010
ACM
15 years 11 months ago
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...
Dominic Battré, Stephan Ewen, Fabian Hueske...