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IMPORTANCE OF MEASURING SENTENTIAL SEMANTIC KNOWLEDGE BASE OF A 凢REE TEXT‟ MEDICAL CORPUS
healthcare industry codified data
2015/5/27
At present, the healthcare industry uses codified data mainly for billing purpose. Codified data could be used to improve patient care through decision support and analytical systems. However to reduc...
Mobile Text Messaging and Connectedness within Close Interpersonal Relationships
text messaging connectedness SMS CMC relational dialectics interpersonal communication
2015/1/8
Mobile telephones are impacting societies around the world and text messaging, short type-written messages sent via mobile phones, has also garnered international research efforts. Research demonstrat...
Segmentation-based Method for Text-Dependent Speaker Recognition in Embedded Applications
Segmentation-based Method Text-Dependent Speaker Recognition Embedded Applications
2013/6/28
In this paper, a fast algorithm for text-dependent speaker recognition is proposed for real-time applications on embedded platforms. Considering the similarity and effectiveness, w...
Using Phoneme Recognition and Text-dependent Speaker Verification to Improve Speaker Segmentation for Chinese Speech
speaker segmentation phoneme recognition text-dependent short utterances
2013/6/28
Speaker segmentation is widely used in many tasks such as multi-speaker detection and speaker tracking. The segmentation performance depends on the performance of
speaker verification (SV) between t...
Trends in Natural Language Processing and Text Mining
Trends Natural Language Processing Text Mining
2010/9/25
Communication, information, opinions, and even feelings are shared, stored and encoded by humans and by their institutions in natural language (as opposed to the artificial, programming or structured ...
DCT-Based Videoprinting on Saliency-Consistent Regions for Detecting Video Copies with Text Insertion
DCT-Based Videoprinting Saliency-Consistent Regions Detecting Video Copies
2010/12/20
Ideal video fingerprinting should be robust to various practical distortions.Conventional fingerprinting mainly copes with natural distortions (brightness change, resolution reduction, etc.), while al...
Directional Correlation Analysis of Local Haar Binary Pattern (LHBP) for Text Detection
Directional Correlation Analysis Local Haar Binary Pattern Text Detection
2010/12/17
Two main restrictions exist in state-of-the-art text detection algorithms: 1. Illumination variance; 2. Text-background contrast variance. This paper presents a robust text
characterization approach ...
In this paper, we propose an effective coarse-to-fine algorithm to detect text in video. Firstly, in coarse-detection section, stroke filter is employed to detect all candidate
stroke pixels, and the...
Text Particles Multi-Band Fusion for Robust Text Detection
Text Particles Multi-Band Fusion Text Detection
2010/12/17
Texts in images and videos usually carry important information for visual content understanding and retrieval. Two main restrictions exist in the state-of-the-art text detection algorithms: weak contr...
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Base and Content-Based Image Retrieval
ImageCLEF 2008 Query Extension Techniques
2010/12/17
In this paper, we present our solutions for the WikipediaMM task at ImageCLEF 2008. The aim of this task is to investigate effective retrieval approaches in the context of a large-scale and heterogene...
Multi-Polarity Text Segmentation Using Graph Theroy
Multi-Polarity Text Segmentation Graph Theroy
2010/12/17
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation methods have difficulties i...
Text in images and videos is a significant cue for visual content understanding and retrieval. In this paper, we present a fast and effective approach to locate text lines
even under complex backgrou...
Semantic scoring based on Small-World Phenomenon for feature selection in text mining
Semantic scoring Small-World Phenomenon feature selection in text mining
2010/12/16
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reserva...
A Robust Split-and-Merge Text Segmentation Approach for Images
Split-and-Merge Text Segmentation Approach Images
2010/12/16
In this paper we describe a robust approach to segment text from color images. The proposed
approach mainly includes four steps. Firstly, a preprocessing step is utilized to enhance text blocks in im...
Text Detection in Images Using Texture Feature from Strokes
text detection wavelet decomposition co-occurrence matrix
2010/12/16
Text embedded in images or videos is indispensable to understand multimedia information. In this paper we propose a new text detection method using the texture feature derived from text strokes. The m...