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ICML
2005
IEEE
14 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore

Book
313views
15 years 8 months ago
A Functional Pattern System for Object-Oriented Design
"Design patterns inspired by functional programming concepts can advance object-oriented design. This thesis promotes the idea that concepts from the world of functional progr...
Thomas Kühne
DAGM
2007
Springer
14 years 4 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
EOR
2007
101views more  EOR 2007»
13 years 10 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
ICASSP
2007
IEEE
14 years 4 months ago
Statistical Analysis of the Global Geodesic Function for 3D Object Classification
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...
Djamila Aouada, Shuo Feng, Hamid Krim