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» Demosaicking using Vector Spectral Model
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ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Demosaicking using Vector Spectral Model
A new edge-sensing demosaicking solution based on a novel vector spectral model is introduced in this paper. Using the vector spectral model, the proposed solution preserves the m...
Rastislav Lukac, Konstantinos N. Plataniotis
CCECE
2006
IEEE
13 years 11 months ago
Vector Concepts-Based Spectral Modelling
This paper presents a unique spectral modelling approach suitable for digital camera image processing. The proposed vector model combines both the magnitude and directional charac...
Rastislav Lukac, Konstantinos N. Plataniotis
ICPR
2010
IEEE
13 years 12 months ago
Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Steven Cadavid, Mohamed Abdel-Mottaleb
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
14 years 5 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
DAGM
2006
Springer
13 years 8 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann