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CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
15 years 6 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 7 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
TSP
2008
105views more  TSP 2008»
15 years 3 months ago
A Fresh Look at the Bayesian Bounds of the Weiss-Weinstein Family
Minimal bounds on the mean square error (MSE) are generally used in order to predict the best achievable performance of an estimator for a given observation model. In this paper, w...
Alexandre Renaux, Philippe Forster, Pascal Larzaba...
VLSID
2002
IEEE
160views VLSI» more  VLSID 2002»
16 years 3 months ago
PREDICTMOS MOSFET Model and its Application to Submicron CMOS Inverter Delay Analysis
Predictive delay analysis is presented for a representative CMOS inverter with submicron device size using PREDICTMOS MOSFET model. As against SPICE, which adopts a time consuming...
A. B. Bhattacharyya, Shrutin Ulman
PAMI
2012
13 years 5 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu