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MLMTA
2007
15 years 5 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
SAC
2005
ACM
15 years 10 months ago
A pivot-based index structure for combination of feature vectors
We present a novel indexing schema that provides efficient nearest-neighbor queries in multimedia databases consisting of objects described by multiple feature vectors. The beneļ¬...
Benjamin Bustos, Daniel A. Keim, Tobias Schreck
ENGL
2008
160views more  ENGL 2008»
15 years 4 months ago
Vector Approximation based Indexing for High-Dimensional Multimedia Databases
With the proliferation of multimedia data, there is an increasing need to support the indexing and searching of high-dimensional data. In this paper, we propose an efficient indexi...
Imane Daoudi, Saîd El Alaoui Ouatik, A. El K...
DCC
1995
IEEE
15 years 8 months ago
Constrained-Storage Vector Quantization with a Universal Codebook
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
TIT
2002
86views more  TIT 2002»
15 years 4 months ago
Lagrangian empirical design of variable-rate vector quantizers: consistency and convergence rates
Abstract--The Lagrangian formulation of variable-rate vector quantization is known to yield useful necessary conditions for quantizer optimality and generalized Lloyd algorithms fo...
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