To develop a coarse classification scheme which is less dependent on domain-specific knowledge, 2-D discrete cosine transform (DCT) is employed as feature extraction method for vision-based applications. Due to the energy compacting property of DCT, the features of a pattern can be extracted progressively according to their significance. In this paper a multiresolution classification scheme bas...

This paper describes the submitted English shallow discourse parsing system from the natural language processing (NLP) group of Soochow university (SoNLP-DP) to the CoNLL-2016 shared task. Our System classifies discourse relations into explicit and non-explicit relations and uses a pipeline platform to conduct every subtask to form an end-to-end shallow discourse parser in the Penn Discourse Tr...

This paper proposes a new F0 model for speech synthesis based on the parameterization of the logF0 contour of the syllables. This parameterization consists of the N -order discrete cosine transform (DCT) plus some additional parameters such as the gradient of the syllable average pitch. A statistical model of the syllable pitch contour is then created by clustering the parameterized vectors wit...

BACKGROUND To evaluate the clinical utility of spectral analysis of intraocular pressure pulse wave in healthy eyes of a control group (CG), patients having glaucomatous optic disc appearance or ocular hypertension, and patients with primary open angle glaucoma or primary angle closure glaucoma. METHODS This is a prospective study that enrolled 296 patients from a single glaucoma clinic. Age ...

In this paper we extend the recently proposed DCT-mod2 feature extraction technique (which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from horizontally & vertically neighbouring blocks) via the use of various windows and diagonally neighbouring blocks. We also propose enhanced PCA, where traditional PCA feature extraction is combined with DCT-mod2. Results using ...

In this report we extend the recently proposed DCT-mod2 feature extraction technique (which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from horizontally & vertically neighbouring blocks) via the use of various windows and diagonally neighbouring blocks. We also evaluate enhanced PCA, where traditional PCA feature extraction is combined with DCT-mod2. Results usin...

Through face we can know the emotions and feelings of a person. It can also be used to judge a person’s mental aspect and psychomatic aspects. There are 5 state of the art approaches for recognizing faces under varying facial expressions. These 5 approaches are overlapping Discrete Cosine Transform (DCT), Hierarchical Dimensionality Reduction (HDR), Local and Global combined Computational Featu...

The task of implicit discourse relation classification has received increased attention in recent years, including two CoNNL shared tasks on the topic. Existing machine learning models for the task train on sections 2-21 of the PDTB and test on section 23, which includes a total of 761 implicit discourse relations. In this paper, we’d like to make a methodological point, arguing that the standa...

Recent  research  in  interlanguage  pragmatics  (ILP)  has  substantiated  that  some  aspects  of pragmatics are amenable to instruction in the second or foreign language classroom. However, there  are  still  controversies  over  the  most  conducive  teaching  approaches  and  the  required materials.  Therefore,  this  study  aims  to  investigate  the  relative  effectiveness  of  conscio...