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» A Soft Robust Model for Optimization Under Ambiguity
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IPSN
2005
Springer
14 years 29 days ago
Tracking on a graph
Abstract— This paper considers the problem of tracking objects with sparsely located binary sensors. Tracking with a sensor network is a challenging task due to the inaccuracy of...
Songhwai Oh, Shankar Sastry
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 7 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
SIGGRAPH
1996
ACM
13 years 11 months ago
A Volumetric Method for Building Complex Models from Range Images
A number of techniques have been developed for reconstructing surfaces by integrating groups of aligned range images. A desirable set of properties for such algorithms includes: i...
Brian Curless, Marc Levoy
IJIT
2004
13 years 8 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...