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» Learning and Design of Principal Curves
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JMIV
2006
91views more  JMIV 2006»
13 years 9 months ago
Harmonic Embeddings for Linear Shape Analysis
We present a novel representation of shape for closed contours in R2 or for compact surfaces in R3 explicitly designed to possess a linear structure. This greatly simplifies linear...
Alessandro Duci, Anthony J. Yezzi, Stefano Soatto,...
FCCM
2008
IEEE
160views VLSI» more  FCCM 2008»
14 years 4 months ago
Facilitating Processor-Based DPR Systems for non-DPR Experts
Currently, only Xilinx Field Programmable Gate Arrays (FPGAs) support Dynamic Partial Reconfiguration (DPR). While there is currently some Computer Aided Design (CAD) tool support...
Edward Chen, William A. Gruver, Dorian Sabaz, Lesl...
SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
14 years 7 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
ICASSP
2008
IEEE
14 years 4 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
14 years 1 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last