Results 31 to 40 of about 1,228 (87)
Applications of wavelet-based compression to multidimensional Earth science data [PDF]
A data compression algorithm involving vector quantization (VQ) and the discrete wavelet transform (DWT) is applied to two different types of multidimensional digital earth-science data.
Bradley, Jonathan N.+1 more
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Vector quantization using the L∞ distortion measure [PDF]
Journal ArticleAbstract-This paper considers vector quantization of signals using the L1 distortion measure. The key contribution is a result that allows one to characterize the centroid of a set of vectors for the L1 distortion measure. A method similar
Hahn, Peter J., Mathews, V. John
core
Combining nonlinear multiresolution system and vector quantization for still image compression [PDF]
It is popular to use multiresolution systems for image coding and compression. However, general-purpose techniques such as filter banks and wavelets are linear.
Wong, Yiu-fai
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Image compression based on vector quantization using cuckoo search optimization technique
Most common vector quantization (VQ) is Linde Buzo Gray (LBG), that designs a local optimal codebook for image compression. Recently firefly algorithm (FA), particle swarm optimization (PSO) and Honey bee mating optimization (HBMO) were designed which ...
Karri Chiranjeevi, Uma Ranjan Jena
doaj
Study of Speaker Recognition Systems [PDF]
Speaker Recognition is the computing task of validating a user’s claimed identity using characteristics extracted from their voices. This technique is one of the most useful and popular biometric recognition techniques in the world especially related to ...
Panda, Ashish Kumar, Sahoo, Amit Kumar
core
S-TREE: Self-Organizing Trees for Data Clustering and Online Vector Quantization [PDF]
This paper introduces S-TREE (Self-Organizing Tree), a family of models that use unsupervised learning to construct hierarchical representations of data and online tree-structured vector quantizers.
Campos, Marcos, Carpenter, Gail
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A Progressive Universal Noiseless Coder [PDF]
The authors combine pruned tree-structured vector quantization (pruned TSVQ) with Itoh's (1987) universal noiseless coder. By combining pruned TSVQ with universal noiseless coding, they benefit from the “successive approximation” capabilities of TSVQ ...
Eve A. Riskin+4 more
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Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
We present a new approach for efficient approximate nearest neighbor (ANN) search in high dimensional spaces, extending the idea of Product Quantization.
Lensch, Hendrik P. A.+3 more
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Rapid near-optimal VQ design with a deterministic data net [PDF]
We present a new algorithm for fixed-rate vector quantizer (VQ) design with deterministic data net. The algorithm also performs efficient VQ design for simply characterized continuous distributions. The algorithm also serves as an approximation algorithm
Effros, Michelle, Schulman, Leonard J.
core
Detection of fixed points in spatiotemporal signals by clustering method
We present a method to determine fixed points in spatiotemporal signals. A 144-dimensioanl simulated signal, similar to a Kueppers-Lortz instability, is analyzed and its fixed points are reconstructed.Comment: 3 pages, 3 ...
A. Hutt+15 more
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