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198
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ICPR
2008
IEEE
16 years 2 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
181
Voted
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
187
Voted
ISNN
2007
Springer
16 years 1 months ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
16 years 1 months ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis
SAT
2005
Springer
138views Hardware» more  SAT 2005»
16 years 1 months ago
On Applying Cutting Planes in DLL-Based Algorithms for Pseudo-Boolean Optimization
The utilization of cutting planes is a key technique in Integer Linear Programming (ILP). However, cutting planes have seldom been applied in Pseudo-Boolean Optimization (PBO) algo...
Vasco M. Manquinho, João P. Marques Silva