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» Learning Models for Predicting Recognition Performance
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ICPP
2006
IEEE
14 years 19 hour ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
PAMI
2007
92views more  PAMI 2007»
13 years 5 months ago
Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...
Peng Wang, Qiang Ji, James L. Wayman
ICAPR
2009
Springer
13 years 3 months ago
Online Improved Eigen Tracking
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
Subarna Tripathi, Santanu Chaudhury, Sumantra Dutt...
EMNLP
2008
13 years 7 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu
CHI
2008
ACM
14 years 6 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz