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PAA
2008
15 years 7 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...
ICCV
2003
IEEE
16 years 9 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
EDBT
2006
ACM
105views Database» more  EDBT 2006»
16 years 7 months ago
HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
Xiaohui Yu, Nick Koudas, Calisto Zuzarte
IIWAS
2008
15 years 8 months ago
Application framework with demand-driven mashup for selective browsing
Abstract: We are developing a new mashup framework for creating flexible applications in which users can selectively browse through mashup items. The framework provides GUI compone...
Sohei Ikeda, Takakazu Nagamine, Tomio Kamada
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 8 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...