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» Adaptable Similarity Search Using Vector Quantization
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SISAP
2008
IEEE
166views Data Mining» more  SISAP 2008»
15 years 4 months ago
Approximate Similarity Search in Genomic Sequence Databases Using Landmark-Guided Embedding
Similarity search in sequence databases is of paramount importance in bioinformatics research. As the size of the genomic databases increases, similarity search of proteins in the...
Ahmet Sacan, Ismail Hakki Toroslu
102
Voted
ICAPR
2001
Springer
15 years 2 months ago
Image Retrieval Using a Hierarchy of Clusters
The goal of this paper is to describe an efficient procedure for color-based image retrieval. The proposed procedure consists of two stages. First, the image data set is hierarchi...
Daniela Stan, Ishwar K. Sethi
CVPR
2008
IEEE
14 years 9 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin
DCC
2000
IEEE
15 years 2 months ago
QccPack: An Open-Source Software Library for Quantization, Compression, and Coding
We describe the QccPack software package, an open-source collection of library routines and utility programs for quantization, compression, and coding of data. QccPack is being wr...
James E. Fowler
91
Voted
IJCNN
2000
IEEE
15 years 2 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio