Convolution
... come to the detailed mathematics of convolution. As used in DigitalSignal Processing, convolution can be understood in two separate ways. Thefirst looks at convolution from the viewpoint of the ... within another loop) is a keycharacteristic of convolution programs; become familiar with it. Chapter 6- Convolution 115FIGURE 6-7A second example of convolution. The waveforms for...
Ngày tải lên: 13/09/2012, 09:49
Properties of Convolution
... convolution. Chapter 17 describes a very sophisticated algorithm called FFT convolution. FFT convolution produces exactly the same result as the convolution algorithmspresented in the last chapter; however, ... Correlation is the answer. Correlation is a mathematical operation that is very similar to convolution. Just as with convolution, correlation uses two signals to produce a t...
Ngày tải lên: 13/09/2012, 09:49
FFT Convolution
... is FFT convolution faster than standard convolution? The answerdepends on the length of the filter kernel, as shown in Fig. 18-3. The time Chapter 18- FFT Convolution 317100 'FFT CONVOLUTION1 10 ... been changed by a more efficient algorithm. Forthis reason, FFT convolution is also called high-speed convolution. Chapter 18- FFT Convolution 313Sample number0 100 200 300...
Ngày tải lên: 13/09/2012, 09:49
... Corollary 1. From Lemma 2, Corollary 3 and Proposition 2, we have Theorem. Let µ is the 5−fold convolution of the standard Cant or measure, then the lower extreme value of the loca l dimension ... self-similarity, Indiana Univ. Math. J. 30 (1981) 713. [4] T. Hu, K. Lau, Multifractal structure of convolution of the Cantor measure, Adv. in Applied Math., (to appear). [5] P. Shmerkin, ” A mo...
Ngày tải lên: 13/02/2014, 03:20
... A hybrid convolution tree kernel for seman- tic role labeling. COLING-ACL-2006 (poster) WanXiang Che, Min Zhang, Aiti Aw, Chew Lim Tan, Ting Liu and Sheng Li. 2008. Using a Hybrid Convolution ... Abstract This paper proposes a convolution forest ker- nel to effectively explore rich structured fea- tures embedded in a packed parse forest. As opposed to the convolution tree kernel,...
Ngày tải lên: 20/02/2014, 04:20
Tài liệu Báo cáo khoa học: "A Hybrid Convolution Tree Kernel for Semantic Role Labeling" pptx
... ls}@ir.hit.edu.cn Abstract A hybrid convolution tree kernel is pro- posed in this paper to effectively model syntactic structures for semantic role la- beling (SRL). The hybrid kernel consists of two individual convolution ... compare our method with previous work in Subsection 4.3. 4.1 Convolution Tree Kernels for SRL Moschitti (2004) proposed to apply convolution tree kernels (Colli...
Ngày tải lên: 20/02/2014, 12:20
Báo cáo khoa học: "A Study on Convolution Kernels for Shallow Semantic Parsing" pdf
... (c+x·z) d , where c is a constant and d is the degree of the polynom. 3 Convolution Kernels for Semantic Parsing We propose two different convolution kernels associated with two different predicate argu- ment ... USA alessandro.moschitti@utdallas.edu Abstract In this paper we have designed and experi- mented novel convolution kernels for automatic classification of predicate arguments. T...
Ngày tải lên: 08/03/2014, 04:22
Báo cáo khoa học: "A Grammar-driven Convolution Tree Kernel for Semantic Role Classification" doc
... paper presents a grammar-driven convolution tree kernel to solve the two problems 3 Grammar-driven Convolution Tree Kernel 3.1 Convolution Tree Kernel In convolution tree kernel (Collins ... lin- guistic knowledge into the convolution tree kernel. To our knowledge, this is the first attempt in this research direction. In detail, we propose a gram- mar-driven convolution t...
Ngày tải lên: 23/03/2014, 18:20
Báo cáo khoa học: "Convolution Kernels with Feature Selection for Natural Language Processing Tasks" docx
... results. These discrete kernels are related to convolution kernels (Haussler, 1999), which provides the con- cept of kernels over discrete structures. Convolution kernels allow us to treat structural ... That is, convolution kernels are well suited to NLP tasks in terms of both accuracy and concept. Unfortunately, experiments have shown that in some cases there is a critical issue with...
Ngày tải lên: 23/03/2014, 19:20
Báo cáo khoa học: "Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification" doc
... seman- tic role labeling (Moschitti et al., 2008). Convolution kernels have been used before in sen- timent analysis: Wiegand and Klakow (2010) use convolution kernels for opinion holder extraction, Johansson ... University † {tuzhaopeng,liuqun,sxlin}@ict.ac.cn, ‡ yhe@cs.nyu.edu, § {jfoster,josef}@computing.dcu.ie Abstract Convolution kernels support the modeling of complex syntactic in...
Ngày tải lên: 30/03/2014, 17:20