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ECCV
2010
Springer
15 years 12 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
BIOID
2008
110views Biometrics» more  BIOID 2008»
15 years 8 months ago
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
Marjory C. C. Abreu, Michael C. Fairhurst
SOCRATES
2008
100views Education» more  SOCRATES 2008»
15 years 8 months ago
Quality in eLearning. Some Results from a National Research Program
Quality is an open concept. Something has a good quality when the most salient of its characteristics have a positive value. What are this relevant features? It depends on the int...
Patrizia Ghislandi, Anna Pedroni, Daniela Paolino,...
NIPS
2003
15 years 8 months ago
Learning Bounds for a Generalized Family of Bayesian Posterior Distributions
In this paper we obtain convergence bounds for the concentration of Bayesian posterior distributions (around the true distribution) using a novel method that simplifies and enhan...
Tong Zhang
WWW
2008
ACM
16 years 7 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi