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» Learning from a Population of Hypotheses
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IPSN
2003
Springer
14 years 3 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
CORR
2010
Springer
140views Education» more  CORR 2010»
13 years 10 months ago
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
João Carreira, Adrian Ion, Cristian Sminchi...
COGSCI
2010
147views more  COGSCI 2010»
13 years 8 months ago
Beyond Core Knowledge: Natural Geometry
For many centuries, philosophers and scientists have pondered the origins and nature of human intuitions about the properties of points, lines, and figures on the Euclidean plane,...
Elizabeth S. Spelke, Sang Ah Lee, Véronique...
WILF
2007
Springer
170views Fuzzy Logic» more  WILF 2007»
14 years 4 months ago
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
13 years 11 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan