Add to ORKGThe wavelet decomposition is a proven tool for constructing concise synopses of large data sets that can be used to obtain fast approximate answers. Existing research studies focus on selecting an optimal set of wavelet coefficients to store so as to minimize some error metric, without however seeking to reduce the size of the wavelet coefficients themselve
Summarization: Recent work has demonstrated the effectiveness of the wavelet decomposition in reduci...
Summarization: Recent work has demonstrated the effectiveness of the wavelet decomposition in reduci...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...
The wavelet decomposition is a proven tool for constructing concise synopses of large data sets that...
the date of receipt and acceptance should be inserted later Abstract The wavelet decomposition is a ...
The focus of this thesis is to explore the structure present in the wavelet decomposition of natural...
The volume of data and the velocity with which it is being generated by com-putational experiments o...
AbstractIn recent years wavelets were shown to be effective data synopses. We are concerned with the...
Summarization: Approximate query processing has emerged as a cost-effective approach for dealing wit...
The wavelet tree is a flexible data structure that permits representing sequences S[1, n] of symbols...
The Time-Frequency and Time-Scale communities have recently developed a large number of overcomplete...
The parametrically adjusted hyperspectral data compression algorithm based on wavelet decomposition ...
In this paper, we introduce a compression algorithm using wavelet transform. The principle of wavele...
The fairt development of multimedia computing has led to the ibemand of using digital imag...
Histograms and Wavelet synopses have been found to be useful in query optimization, approximate qu...
Summarization: Recent work has demonstrated the effectiveness of the wavelet decomposition in reduci...
Summarization: Recent work has demonstrated the effectiveness of the wavelet decomposition in reduci...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...
The wavelet decomposition is a proven tool for constructing concise synopses of large data sets that...
the date of receipt and acceptance should be inserted later Abstract The wavelet decomposition is a ...
The focus of this thesis is to explore the structure present in the wavelet decomposition of natural...
The volume of data and the velocity with which it is being generated by com-putational experiments o...
AbstractIn recent years wavelets were shown to be effective data synopses. We are concerned with the...
Summarization: Approximate query processing has emerged as a cost-effective approach for dealing wit...
The wavelet tree is a flexible data structure that permits representing sequences S[1, n] of symbols...
The Time-Frequency and Time-Scale communities have recently developed a large number of overcomplete...
The parametrically adjusted hyperspectral data compression algorithm based on wavelet decomposition ...
In this paper, we introduce a compression algorithm using wavelet transform. The principle of wavele...
The fairt development of multimedia computing has led to the ibemand of using digital imag...
Histograms and Wavelet synopses have been found to be useful in query optimization, approximate qu...
Summarization: Recent work has demonstrated the effectiveness of the wavelet decomposition in reduci...
Summarization: Recent work has demonstrated the effectiveness of the wavelet decomposition in reduci...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...