搜索资源列表
zhishifencisuanfa
- 基于知识分词算法的病案全文检索系统, 硕士论文.-Knowledge-based segmentation algorithm cases full-text retrieval system, a master s thesis.
CBIR
- Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based
jiansuo
- 关于检索方面的资料，包括文本检索的统计语言建模方法综述，现代信息检索第1章[1]-On the retrieval of information, including text retrieval of statistical language modeling methods, Modern Information Retrieval Chapter 1 [1]
Audio-Information-Retrieval-Techniques
- To overcome this, the OPCA is applied hierarchically in two stages. The input of the first stage are single feature vectors of one time instance. The input of the second stage are the combined output of several time instances of the first stage
IEEE-SAR-image-
- ieee论文，主要是高分辨率SAR图像的特征提取与检索技术-ieee papers, mainly high-resolution SAR image feature extraction and retrieval technology
cut-stopwords
- 语义网中，文本分析、信息检索常用的停用词！-The Semantic Web, text analysis, information retrieval used stop words!
kk
- 综合灰度和纹理特征的视频段检索匹配研究.rar-The integrated grayscale and texture features video segment retrieval match. Rar
FULLTEXT01
- CBIR-Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is a
Content-based-Image-Retrieval
- Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an i
1-s2.0-S003132031000213X-main
- some fast feature extraction algorithms are addressed for joint retrieval of images compressed in JPEG and JPEG2000 formats. In order to avoid full decoding, three fast algorithms that convert block-based discrete cosine transform (BDCT) into wav
SURVEY-ON-CONTENT-BASED-MEDICAL-IMAGE-RETRIEVAL-S
- survey on content based medical image retrieval system it contains pre processing feature extraction and selection methods
Emotion-Based-Image-Retrieval1-An-Artificial
- The amount of audio visual information available in digital format has grown exponently in recent years. Gigabytes of new images, audio and video clips are generated and stored every day, building up a huge, distributed, and mostly unstructured repos
3Semantic-content-analysis-and-annotation-of
- the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico