搜索资源列表
lsa.py
- Latent Semantic Analysis
histgramTest
- 本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割- in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation.
result
- 最后的测试程序，得出文本检索的正确率和召回率-In the end, the cosine similarity of texts is used to measure the similarity between the query and documents. The data comparison indicates that this algorithm has well experimental results. Moreover, it gets the advantage over
deyudabian
- 德育答辩！2010年中北大学德育答辩申请表 打开撒娇爱上了肯定放假-kjdskjfdksa lskjfka ksj falaj fda lsa f ksjf ak
EZUSB_FirmwareDownload
- lsa fpga based. tested ,works good
goldendict.tar
- GoldenDict 是一款不错的、与 StarDict（星际译王）类似的词典软件。它使用 WebKit 作为渲染核心，格式化、颜色、图像、链接等支持一应俱全；支持多种词典文件格式，包括 Babylon 的 .BGL 文件、StarDict 的 .ifo/.dict/.idx/.syn 文件、Dictd 的 .index/.dict(.dz) 文件、ABBYY Lingvo 的 .dsl/.lsa/.dat 文件；可查询 Wikipedia、Wiktionary 等基于 MediaWiki 的
LSA
- Least square approximation to solve numerical analysis problems using m file matlab program can solve least square for n order of equations
algoriffic-lsa4solr-93231ca
- algoritm lsa fo solr information retrieval created to reduce dimension
BoneMicoren
- Bone microphnoe simulator. this is a trial to de-noise the bone microphone signals. This also utilizes om-lsa algorithm
LSAtest
- LSA is patented technology (US Patent 4,839, 853). The patent is presumably expired. Latent classes were introduced in 50th when statisticians noticed that in poll forms some answers can be successfully predicted. For example, when someone provides p
HopkinsMultiviewMultibodyCode
- 这个算法包实现了多视角下多运动目标的检测和分割算法，主要有三种算法： GPCA 谱聚类法，RANSAC, 局部子空间仿射变幻法。- This package contains the code for the following multiview-multibody motion segmentation algorithms: - GPCA with spectral clustering - RANSAC - Local Subspace Affini
LSA
- 中文词法、语法等分析，可以参考学习-Chinese lexical analysis, grammar, etc., you can refer to learn. . . . .
lsa
- JSP+MySQL做的登录与注册功能网站，简单易学！-JSP+ MySQL do Login and Registration
matlab-SVD
- 用matlab实现奇异值分解的算法,奇异值分解是LSA的基础，要理解LSA必须了解SVD.-Using matlab to achieve the singular value decomposition algorithm, singular value decomposition is the basis of the LSA, LSA must know to understand the SVD.
tmsvm_for_win_1.2.0
- window下的文本分类工具tmSVM，该系统在封装 libsvm 、 liblinear 的基础上，又增加了 特征选择 、 LSA特征抽取 、 SVM模型参数选择 、 libsvm格式转化模块 以及一些实用的工具。-Text categorization tool tmSVM under the window, the system on the basis of encapsulation libsvm, liblinear, added feature selection, LSA fea
LSA
- 最小二乘加速算法的算法说名，并附有详细matlab代码-least square acceleration filtering
omlsa.m.tar
- 基于IMCRA单通道噪声估计,基于Omlsa(optimally-modified log-spectral amplitude)语音增强-Isreal Cohen- omlsa : Single Channel OM-LSA with IMCRA noise estimator. Noise psd estimation & Speech enhencement
LSASummarization-a-paper
- lsasummarization 用 lsa 来干文摘的工作。 配套论文-lsasummarization leverages lsa language model in the task of text summarization
11
- LSA的第一步是要去创建词到标题（文档）的矩阵。在这个矩阵里，每一个索引词占据了一行，每一个标题占据一列。每一个单元（cell）包含了这个词出现在那个标题中的次数。例如，词”book”出现在T3中一次，出现在T4中一次，而”investing”在所有标题中都出现了一次。一般来说，在LSA中的矩阵会非常大而且会非常稀疏（大部分的单元都是0）。这是因为每个标题或者文档一般只包含所有词汇的一小部分。更复杂的LSA算法会利用这种稀疏性去改善空间和时间复杂度。-The Little Book of Com
omlsa
- optimally-modified log-spectral amplitude (OM-LSA) speech estimator.作者：Israel Cohen-optimally-modified log-spectral amplitude (OM-LSA) speech estimator.By Israel Cohen