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ICCV
2003
IEEE
16 years 8 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
BPM
2009
Springer
340views Business» more  BPM 2009»
16 years 1 months ago
Abstractions in Process Mining: A Taxonomy of Patterns
ions in Process Mining: A Taxonomy of Patterns R.P. Jagadeesh Chandra Bose1,2 and Wil M.P. van der Aalst1 1 Department of Mathematics and Computer Science, University of Technology...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
HICSS
2008
IEEE
143views Biometrics» more  HICSS 2008»
16 years 27 days ago
Soft Innovation as Data-Driven Process Improvement Exploited via Integrated Hospital Information Systems
Soft innovations are regarded as insightful, useful ideas originating from stakeholders within the organization. This study takes a new approach to examining the origins of soft i...
Jim Ryan, Barbara Doster, Sandra Daily, Marty Hesl...
IROS
2006
IEEE
141views Robotics» more  IROS 2006»
16 years 14 days ago
Experimental Analysis of Overhead Data Processing To Support Long Range Navigation
Abstract— Long range navigation by unmanned ground vehicles continues to challenge the robotics community. Efficient navigation requires not only intelligent on-board perception...
David Silver, Boris Sofman, Nicolas Vandapel, J. A...
VLDB
1995
ACM
155views Database» more  VLDB 1995»
15 years 10 months ago
Aggregate-Query Processing in Data Warehousing Environments
In this paper we introduce generalized projections (GPs), an extension of duplicateeliminating projections, that capture aggregations, groupbys, duplicate-eliminating projections ...
Ashish Gupta, Venky Harinarayan, Dallan Quass