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ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
ICIP
2009
IEEE
13 years 7 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
ICIP
2009
IEEE
13 years 7 months ago
A contrario hierarchical image segmentation
Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures...
Juan Cardelino, Vicent Caselles, Marcelo Bertalm&i...
ICIP
2009
IEEE
13 years 7 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
ICIP
2009
IEEE
13 years 7 months ago
Light Speed Labeling for RISC architectures
This article introduces a fast algorithm for Connected Component Labeling of binary images called Light Speed Labeling. It is segment-based and a line-relative labeling that was e...
Lionel Lacassagne, Bertrand Zavidovique
ICIP
2009
IEEE
13 years 7 months ago
Precise head segmentation on arbitrary backgrounds
We propose a method for segmentation of frontal human portraits from arbitrary unknown backgrounds. Semantic information is used to project the face into a normalized reference fr...
David C. Schneider, Benjamin Prestele, Peter Eiser...
ICIP
2009
IEEE
13 years 7 months ago
Image interpolation with edge-preserving differential motion refinement
Motion estimation (ME) methods based on differential techniques provide useful information for video analysis, and moreover it is relatively easy to embed into them regularity con...
Marco Cagnazzo, Wided Miled, Thomas Maugey, B&eacu...
ICIP
2009
IEEE
13 years 7 months ago
Total variation projection with first order schemes
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
Mohamed-Jalal Fadili, Gabriel Peyré
ICIG
2009
IEEE
13 years 7 months ago
Illumination Invariant Object Tracking with Incremental Subspace Learning
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
Gang Yu, Hongtao Lu
ICDE
2009
IEEE
142views Database» more  ICDE 2009»
13 years 7 months ago
Parallel Skyline Computation on Multicore Architectures
With the advent of multicore processors, it has become imperative to write parallel programs if one wishes to exploit the next generation of processors. This paper deals with skyli...
Sungwoo Park, Taekyung Kim, Jonghyun Park, Jinha K...