Báo cáo hóa học: "Texture Classification Using Sparse Frame-Based Representations" potx

... texture classification using vector quantization [9]. Actually, FTCM may be regarded as a generalization of the vector quantization approach. This paper is organized as follows. Sparse frame-based representations ... Processing Volume 2006, Article ID 52561, Pages 1–11 DOI 10.1155/ASP/2006/52561 Texture Classification Using Sparse Frame-Based Representations Karl Skretting and J...

Ngày tải lên: 22/06/2014, 23:20

... Nugues, 2008)). The classification performance is measured with accuracy (i.e., the percentage of correct classifica- tion). We also derive statistical significance of the results by using the model ... Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Verb Classification using Distributional Similarity in Syntactic and Semantic Structures Danilo Croce U...

Ngày tải lên: 23/03/2014, 14:20

... for classification. Back propagation network with input layer of 64 nodes, one hidden layer of 32 nodes, and output layer of 9 nodes is used for classification. 4.1. Classification results For classification, ... advantage compared to that obtained by CWD. The ISAR images thus obtained are identified using a neural network-based classification scheme with feature set invariant to translat...

Ngày tải lên: 22/06/2014, 23:20

... we also show that there are many other proteins that function using scaffolding mechanisms, and ought to be considered in extending the classification scheme of these regulatory proteins. It will ... Tompa Functional classification of scaffold proteins FEBS Journal 277 (2010) 4348–4355 ª 2010 The Authors Journal compilation ª 2010 FEBS 4351 pathways or create new pathways using novel co...

Ngày tải lên: 06/03/2014, 22:21

... supporting Algorithm 1 Iterative Classification Algorithm for each node V i ∈ V do {bootstrapping} compute a i using only local attributes of node v i ← f (a i ) end for repeat {iterative classification} randomly ... Introduction Supervised document classification is a well-studied task. Research has been performed across many document types with a variety of classification tasks. Exa...

Ngày tải lên: 23/03/2014, 16:20

... specifically at improving fine-grained classification. 5.3 Collective Classification For incorporating our inter-mention links, we use a variant of Iterative Collective classification (ICA), which has shown ... collective classifi- cation to local classification, using N issim’s frame- work and features, and Table 8 the equivalent table for R ahman and Ng’s approach. The improvements using...

Ngày tải lên: 30/03/2014, 17:20

... Results In this section we will present our results for hedge classification as a standalone task. In experiments we made use of the hedge classification dataset of scientific texts provided by (Medlock ... an ICD- 9-CM coding system. 3.1 Results for hedge classification in biomedical texts As regards the degree of human intervention needed, our classification and feature selection model f...

Ngày tải lên: 31/03/2014, 00:20

... syntactic-semantic) verb classification this paper focuses on. To get an initial idea about the differences be- tween our target classification and a general lan- guage classification, we examined ... abundance of work has been con- ducted on semantic classification of biomedical terms and nouns, less work has been done on the (manual or automatic) semantic classification of verbs in the...

Ngày tải lên: 31/03/2014, 01:20

... computed with five-fold cross-validation using just the training data of the outer ten-fold cross-validation. Subsequently, the classifier was retrained using all training data in order to test ... the 500- 2000 ms interval using the Welch method. In other words, the interval was split into 8 segments with 5 0% overlap between segments. Each segment was windowed using a Hamming window...

Ngày tải lên: 19/06/2014, 08:20

... are less annoying) and using a simple method to extract SSVEP from ongoing EEG. Conclusions In this work, an asynchronous BCI based in high-fre- quency SSVEP is presented, using only three ongoing EEG ... off-line analysis of the EEG but they were not evaluated for asynchronous EEG classifi- cation. Using spatial filters, an ITR of 22.7 bits/min was reached in [13]. A method to control...

Ngày tải lên: 19/06/2014, 08:20