12 years 6 months ago
The NBNN kernel
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results t...
Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor...
12 years 10 months ago
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus ge
Background: Results of phylogenetic analysis are often visualized as phylogenetic trees. Such a tree can typically only include up to a few hundred sequences. When more than a few...
Jiajie Zhang, Amir Madany Mamlouk, Thomas Martinet...
12 years 10 months ago
Coding of unquantized spectrum sub-bands in superwideband audio codecs
We present several new methods for coding of spectrum coefficients in embedded audio codecs. In audio codecs, the spectrum is often divided in sub-bands, and quantized using a vec...
Vaclav Eksler, Milan Jelinek
273views more  JIPS 2010»
13 years 1 months ago
Hiding Secret Data in an Image Using Codeword Imitation
This paper proposes a novel reversible data hiding scheme based on a Vector Quantization (VQ) codebook. The proposed scheme uses the principle component analysis (PCA) algorithm to...
Zhi-Hui Wang, Chin-Chen Chang, Pei-Yu Tsai
13 years 4 months ago
An Efficient VQ-Based Data Hiding Scheme Using Voronoi Clustering
In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codeowrds according the codewords' relation on Voronoi Diagram (VD). ...
Ming-Ni Wu, Puu-An Juang, Yu-Chiang Li
119views more  IJON 2010»
13 years 4 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer
177views Neural Networks» more  NN 1998»
13 years 6 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
91views more  NPL 2000»
13 years 6 months ago
A Novel Self-Creating Neural Network for Learning Vector Quantization
This paper presents a novel self-creating neural network scheme which employs two resource counters to record network learning activity. The proposed scheme not only achieves the b...
Jung-Hua Wang, Chung-Yun Peng
114views more  TNN 2008»
13 years 6 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...
81views more  TIT 2008»
13 years 6 months ago
Lagrangian Vector Quantization With Combined Entropy and Codebook Size Constraints
Abstract--In this paper, the Lagrangian formulation of variablerate vector quantization is extended to quantization with simultaneous constraints on entropy and codebook size, incl...
Robert M. Gray, Tamás Linder, John T. Gill ...